htlou commited on
Commit
cd83cf6
·
verified ·
1 Parent(s): 50cbd57

Upload folder using huggingface_hub

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. README.md +90 -0
  2. added_tokens.json +4 -0
  3. all_results.json +20 -0
  4. checkpoint-100/added_tokens.json +4 -0
  5. checkpoint-100/config.json +68 -0
  6. checkpoint-100/generation_config.json +6 -0
  7. checkpoint-100/model-00001-of-00004.safetensors +3 -0
  8. checkpoint-100/model-00002-of-00004.safetensors +3 -0
  9. checkpoint-100/model-00003-of-00004.safetensors +3 -0
  10. checkpoint-100/model-00004-of-00004.safetensors +3 -0
  11. checkpoint-100/model.safetensors.index.json +694 -0
  12. checkpoint-100/preprocessor_config.json +52 -0
  13. checkpoint-100/special_tokens_map.json +30 -0
  14. checkpoint-100/tokenizer.json +0 -0
  15. checkpoint-100/tokenizer.model +3 -0
  16. checkpoint-100/tokenizer_config.json +70 -0
  17. checkpoint-100/trainer_state.json +365 -0
  18. checkpoint-100/training_args.bin +3 -0
  19. checkpoint-200/added_tokens.json +4 -0
  20. checkpoint-200/config.json +68 -0
  21. checkpoint-200/generation_config.json +6 -0
  22. checkpoint-200/model-00001-of-00004.safetensors +3 -0
  23. checkpoint-200/model-00002-of-00004.safetensors +3 -0
  24. checkpoint-200/model-00003-of-00004.safetensors +3 -0
  25. checkpoint-200/model-00004-of-00004.safetensors +3 -0
  26. checkpoint-200/model.safetensors.index.json +694 -0
  27. checkpoint-200/preprocessor_config.json +52 -0
  28. checkpoint-200/special_tokens_map.json +30 -0
  29. checkpoint-200/tokenizer.json +0 -0
  30. checkpoint-200/tokenizer.model +3 -0
  31. checkpoint-200/tokenizer_config.json +70 -0
  32. checkpoint-200/trainer_state.json +697 -0
  33. checkpoint-200/training_args.bin +3 -0
  34. checkpoint-300/added_tokens.json +4 -0
  35. checkpoint-300/config.json +68 -0
  36. checkpoint-300/generation_config.json +6 -0
  37. checkpoint-300/model-00001-of-00004.safetensors +3 -0
  38. checkpoint-300/model-00002-of-00004.safetensors +3 -0
  39. checkpoint-300/model-00003-of-00004.safetensors +3 -0
  40. checkpoint-300/model-00004-of-00004.safetensors +3 -0
  41. checkpoint-300/model.safetensors.index.json +694 -0
  42. checkpoint-300/preprocessor_config.json +52 -0
  43. checkpoint-300/special_tokens_map.json +30 -0
  44. checkpoint-300/tokenizer.json +0 -0
  45. checkpoint-300/tokenizer.model +3 -0
  46. checkpoint-300/tokenizer_config.json +70 -0
  47. checkpoint-300/trainer_state.json +1029 -0
  48. checkpoint-300/training_args.bin +3 -0
  49. checkpoint-400/added_tokens.json +4 -0
  50. checkpoint-400/config.json +68 -0
README.md ADDED
@@ -0,0 +1,90 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: other
4
+ base_model: llava-hf/llava-v1.6-mistral-7b-hf
5
+ tags:
6
+ - llama-factory
7
+ - full
8
+ - generated_from_trainer
9
+ model-index:
10
+ - name: RLAIF-V-Dataset
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # RLAIF-V-Dataset
18
+
19
+ This model is a fine-tuned version of [llava-hf/llava-v1.6-mistral-7b-hf](https://huggingface.co/llava-hf/llava-v1.6-mistral-7b-hf) on the RLAIF-V-Dataset dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 0.4467
22
+ - Rewards/chosen: -3.1988
23
+ - Rewards/rejected: -5.9606
24
+ - Rewards/accuracies: 0.8163
25
+ - Rewards/margins: 2.7618
26
+ - Logps/rejected: -218.4866
27
+ - Logps/chosen: -190.4653
28
+ - Logits/rejected: -2.3732
29
+ - Logits/chosen: -2.4055
30
+
31
+ ## Model description
32
+
33
+ More information needed
34
+
35
+ ## Intended uses & limitations
36
+
37
+ More information needed
38
+
39
+ ## Training and evaluation data
40
+
41
+ More information needed
42
+
43
+ ## Training procedure
44
+
45
+ ### Training hyperparameters
46
+
47
+ The following hyperparameters were used during training:
48
+ - learning_rate: 1e-06
49
+ - train_batch_size: 8
50
+ - eval_batch_size: 8
51
+ - seed: 42
52
+ - distributed_type: multi-GPU
53
+ - num_devices: 8
54
+ - gradient_accumulation_steps: 4
55
+ - total_train_batch_size: 256
56
+ - total_eval_batch_size: 64
57
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
58
+ - lr_scheduler_type: cosine
59
+ - lr_scheduler_warmup_steps: 10
60
+ - num_epochs: 3.0
61
+
62
+ ### Training results
63
+
64
+ | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
65
+ |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
66
+ | 0.5777 | 0.1709 | 50 | 0.5813 | -0.4541 | -1.0668 | 0.6683 | 0.6127 | -169.5483 | -163.0182 | -2.5153 | -2.5221 |
67
+ | 0.4982 | 0.3419 | 100 | 0.5161 | -0.9806 | -2.1974 | 0.7212 | 1.2168 | -180.8539 | -168.2832 | -2.4606 | -2.4847 |
68
+ | 0.4954 | 0.5128 | 150 | 0.4770 | -1.5352 | -3.2803 | 0.7548 | 1.7451 | -191.6833 | -173.8291 | -2.0991 | -2.1473 |
69
+ | 0.4567 | 0.6838 | 200 | 0.4598 | -1.1951 | -2.8406 | 0.7596 | 1.6455 | -187.2865 | -170.4288 | -2.1090 | -2.1587 |
70
+ | 0.4873 | 0.8547 | 250 | 0.4487 | -1.9205 | -3.6640 | 0.7635 | 1.7435 | -195.5203 | -177.6819 | -2.5457 | -2.5724 |
71
+ | 0.2176 | 1.0256 | 300 | 0.4383 | -1.1991 | -3.1202 | 0.7846 | 1.9211 | -190.0823 | -170.4688 | -2.3130 | -2.3490 |
72
+ | 0.2095 | 1.1966 | 350 | 0.4537 | -2.3545 | -4.8732 | 0.7933 | 2.5188 | -207.6123 | -182.0219 | -2.3656 | -2.3942 |
73
+ | 0.1952 | 1.3675 | 400 | 0.4353 | -1.9722 | -4.1870 | 0.7962 | 2.2148 | -200.7505 | -178.1995 | -2.3058 | -2.3361 |
74
+ | 0.1819 | 1.5385 | 450 | 0.4321 | -2.0466 | -4.4416 | 0.8077 | 2.3950 | -203.2960 | -178.9431 | -2.2282 | -2.2612 |
75
+ | 0.1932 | 1.7094 | 500 | 0.4247 | -1.8597 | -4.1324 | 0.8087 | 2.2727 | -200.2041 | -177.0739 | -2.2659 | -2.2970 |
76
+ | 0.1921 | 1.8803 | 550 | 0.4131 | -2.3219 | -4.8505 | 0.8183 | 2.5286 | -207.3855 | -181.6965 | -2.3691 | -2.3985 |
77
+ | 0.0868 | 2.0513 | 600 | 0.4392 | -2.7792 | -5.2414 | 0.8135 | 2.4623 | -211.2946 | -186.2690 | -2.4330 | -2.4615 |
78
+ | 0.0825 | 2.2222 | 650 | 0.4447 | -3.2209 | -6.0852 | 0.8154 | 2.8642 | -219.7319 | -190.6867 | -2.3962 | -2.4295 |
79
+ | 0.0925 | 2.3932 | 700 | 0.4449 | -3.2092 | -6.0685 | 0.8183 | 2.8593 | -219.5651 | -190.5695 | -2.3854 | -2.4189 |
80
+ | 0.0754 | 2.5641 | 750 | 0.4567 | -3.3570 | -6.0710 | 0.8115 | 2.7141 | -219.5908 | -192.0472 | -2.3789 | -2.4105 |
81
+ | 0.0707 | 2.7350 | 800 | 0.4484 | -3.2447 | -6.0070 | 0.8135 | 2.7622 | -218.9498 | -190.9248 | -2.3739 | -2.4066 |
82
+ | 0.0739 | 2.9060 | 850 | 0.4468 | -3.2032 | -5.9670 | 0.8173 | 2.7638 | -218.5504 | -190.5096 | -2.3732 | -2.4054 |
83
+
84
+
85
+ ### Framework versions
86
+
87
+ - Transformers 4.45.2
88
+ - Pytorch 2.4.0+cu121
89
+ - Datasets 2.21.0
90
+ - Tokenizers 0.20.3
added_tokens.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "<image>": 32000,
3
+ "<pad>": 32001
4
+ }
all_results.json ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.994871794871795,
3
+ "eval_logits/chosen": -2.405457019805908,
4
+ "eval_logits/rejected": -2.3732309341430664,
5
+ "eval_logps/chosen": -190.46534729003906,
6
+ "eval_logps/rejected": -218.4866485595703,
7
+ "eval_loss": 0.4467383623123169,
8
+ "eval_rewards/accuracies": 0.8163461685180664,
9
+ "eval_rewards/chosen": -3.198800802230835,
10
+ "eval_rewards/margins": 2.761833906173706,
11
+ "eval_rewards/rejected": -5.960635185241699,
12
+ "eval_runtime": 521.0004,
13
+ "eval_samples_per_second": 15.958,
14
+ "eval_steps_per_second": 0.25,
15
+ "total_flos": 1.0330118169821184e+16,
16
+ "train_loss": 0.2635330677789436,
17
+ "train_runtime": 37517.7872,
18
+ "train_samples_per_second": 5.983,
19
+ "train_steps_per_second": 0.023
20
+ }
checkpoint-100/added_tokens.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "<image>": 32000,
3
+ "<pad>": 32001
4
+ }
checkpoint-100/config.json ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/data/align-anything/hantao/models/llava-v1.6-mistral-7b-hf",
3
+ "architectures": [
4
+ "LlavaNextForConditionalGeneration"
5
+ ],
6
+ "hidden_size": 4096,
7
+ "ignore_index": -100,
8
+ "image_grid_pinpoints": [
9
+ [
10
+ 336,
11
+ 672
12
+ ],
13
+ [
14
+ 672,
15
+ 336
16
+ ],
17
+ [
18
+ 672,
19
+ 672
20
+ ],
21
+ [
22
+ 1008,
23
+ 336
24
+ ],
25
+ [
26
+ 336,
27
+ 1008
28
+ ]
29
+ ],
30
+ "image_seq_length": 576,
31
+ "image_token_index": 32000,
32
+ "model_type": "llava_next",
33
+ "projector_hidden_act": "gelu",
34
+ "text_config": {
35
+ "_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
36
+ "architectures": [
37
+ "MistralForCausalLM"
38
+ ],
39
+ "intermediate_size": 14336,
40
+ "max_position_embeddings": 32768,
41
+ "model_type": "mistral",
42
+ "num_key_value_heads": 8,
43
+ "rms_norm_eps": 1e-05,
44
+ "rope_theta": 1000000.0,
45
+ "sliding_window": null,
46
+ "torch_dtype": "bfloat16",
47
+ "vocab_size": 32064
48
+ },
49
+ "tie_word_embeddings": false,
50
+ "torch_dtype": "bfloat16",
51
+ "transformers_version": "4.45.2",
52
+ "use_cache": false,
53
+ "use_image_newline_parameter": true,
54
+ "vision_config": {
55
+ "hidden_size": 1024,
56
+ "image_size": 336,
57
+ "intermediate_size": 4096,
58
+ "model_type": "clip_vision_model",
59
+ "num_attention_heads": 16,
60
+ "num_hidden_layers": 24,
61
+ "patch_size": 14,
62
+ "projection_dim": 768,
63
+ "vocab_size": 32000
64
+ },
65
+ "vision_feature_layer": -2,
66
+ "vision_feature_select_strategy": "default",
67
+ "vocab_size": 32064
68
+ }
checkpoint-100/generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": 2,
5
+ "transformers_version": "4.45.2"
6
+ }
checkpoint-100/model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2d4e61641500ca3a512b1c66d6147ffadef201f5b2aec9d1169a1590b6f6dd66
3
+ size 4921618624
checkpoint-100/model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0942e81aa791be7ff1069198337d8026df772a84118c26d00985b1443ca5d7c3
3
+ size 4915917672
checkpoint-100/model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:313cfd8df887c89098a740b8824f484e126f10aa9ac3fd7eb73c8f4b6208651e
3
+ size 4915917680
checkpoint-100/model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:59b99b5736445aadc42babbfb779d6746af4b285e7d851ebf9e0ed74c128a16b
3
+ size 380134008
checkpoint-100/model.safetensors.index.json ADDED
@@ -0,0 +1,694 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 15133495296
4
+ },
5
+ "weight_map": {
6
+ "image_newline": "model-00001-of-00004.safetensors",
7
+ "language_model.lm_head.weight": "model-00004-of-00004.safetensors",
8
+ "language_model.model.embed_tokens.weight": "model-00001-of-00004.safetensors",
9
+ "language_model.model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
10
+ "language_model.model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
11
+ "language_model.model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
12
+ "language_model.model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
13
+ "language_model.model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
14
+ "language_model.model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
15
+ "language_model.model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
16
+ "language_model.model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
17
+ "language_model.model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
18
+ "language_model.model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
19
+ "language_model.model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
20
+ "language_model.model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
21
+ "language_model.model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
22
+ "language_model.model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
23
+ "language_model.model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
24
+ "language_model.model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
25
+ "language_model.model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
26
+ "language_model.model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
27
+ "language_model.model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
28
+ "language_model.model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
29
+ "language_model.model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
30
+ "language_model.model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
31
+ "language_model.model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
32
+ "language_model.model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
33
+ "language_model.model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
34
+ "language_model.model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
35
+ "language_model.model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
36
+ "language_model.model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
37
+ "language_model.model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
38
+ "language_model.model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
39
+ "language_model.model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
40
+ "language_model.model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
41
+ "language_model.model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
42
+ "language_model.model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
43
+ "language_model.model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
44
+ "language_model.model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
45
+ "language_model.model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
46
+ "language_model.model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
47
+ "language_model.model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
48
+ "language_model.model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
49
+ "language_model.model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
50
+ "language_model.model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
51
+ "language_model.model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
52
+ "language_model.model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
53
+ "language_model.model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
54
+ "language_model.model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
55
+ "language_model.model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
56
+ "language_model.model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
57
+ "language_model.model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
58
+ "language_model.model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
59
+ "language_model.model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
60
+ "language_model.model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
61
+ "language_model.model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
62
+ "language_model.model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
63
+ "language_model.model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
64
+ "language_model.model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
65
+ "language_model.model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
66
+ "language_model.model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
67
+ "language_model.model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
68
+ "language_model.model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
69
+ "language_model.model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
70
+ "language_model.model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
71
+ "language_model.model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
72
+ "language_model.model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
73
+ "language_model.model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
74
+ "language_model.model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
75
+ "language_model.model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
76
+ "language_model.model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
77
+ "language_model.model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
78
+ "language_model.model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
79
+ "language_model.model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
80
+ "language_model.model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
81
+ "language_model.model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
82
+ "language_model.model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
83
+ "language_model.model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
84
+ "language_model.model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
85
+ "language_model.model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
86
+ "language_model.model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
87
+ "language_model.model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
88
+ "language_model.model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
89
+ "language_model.model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
90
+ "language_model.model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
91
+ "language_model.model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
92
+ "language_model.model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
93
+ "language_model.model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
94
+ "language_model.model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
95
+ "language_model.model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
96
+ "language_model.model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
97
+ "language_model.model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
98
+ "language_model.model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
99
+ "language_model.model.layers.18.input_layernorm.weight": "model-00002-of-00004.safetensors",
100
+ "language_model.model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
101
+ "language_model.model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
102
+ "language_model.model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
103
+ "language_model.model.layers.18.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
104
+ "language_model.model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
105
+ "language_model.model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
106
+ "language_model.model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
107
+ "language_model.model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
108
+ "language_model.model.layers.19.input_layernorm.weight": "model-00002-of-00004.safetensors",
109
+ "language_model.model.layers.19.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
110
+ "language_model.model.layers.19.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
111
+ "language_model.model.layers.19.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
112
+ "language_model.model.layers.19.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
113
+ "language_model.model.layers.19.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
114
+ "language_model.model.layers.19.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
115
+ "language_model.model.layers.19.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
116
+ "language_model.model.layers.19.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
117
+ "language_model.model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
118
+ "language_model.model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
119
+ "language_model.model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
120
+ "language_model.model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
121
+ "language_model.model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
122
+ "language_model.model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
123
+ "language_model.model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
124
+ "language_model.model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
125
+ "language_model.model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
126
+ "language_model.model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
127
+ "language_model.model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
128
+ "language_model.model.layers.20.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
129
+ "language_model.model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
130
+ "language_model.model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
131
+ "language_model.model.layers.20.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
132
+ "language_model.model.layers.20.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
133
+ "language_model.model.layers.20.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
134
+ "language_model.model.layers.20.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
135
+ "language_model.model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
136
+ "language_model.model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
137
+ "language_model.model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
138
+ "language_model.model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
139
+ "language_model.model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
140
+ "language_model.model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
141
+ "language_model.model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
142
+ "language_model.model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
143
+ "language_model.model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
144
+ "language_model.model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
145
+ "language_model.model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
146
+ "language_model.model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
147
+ "language_model.model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
148
+ "language_model.model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
149
+ "language_model.model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
150
+ "language_model.model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
151
+ "language_model.model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
152
+ "language_model.model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
153
+ "language_model.model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
154
+ "language_model.model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
155
+ "language_model.model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
156
+ "language_model.model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
157
+ "language_model.model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
158
+ "language_model.model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
159
+ "language_model.model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
160
+ "language_model.model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
161
+ "language_model.model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
162
+ "language_model.model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
163
+ "language_model.model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
164
+ "language_model.model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
165
+ "language_model.model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
166
+ "language_model.model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
167
+ "language_model.model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
168
+ "language_model.model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
169
+ "language_model.model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
170
+ "language_model.model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
171
+ "language_model.model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
172
+ "language_model.model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
173
+ "language_model.model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
174
+ "language_model.model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
175
+ "language_model.model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
176
+ "language_model.model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
177
+ "language_model.model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
178
+ "language_model.model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
179
+ "language_model.model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
180
+ "language_model.model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
181
+ "language_model.model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
182
+ "language_model.model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
183
+ "language_model.model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
184
+ "language_model.model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
185
+ "language_model.model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
186
+ "language_model.model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
187
+ "language_model.model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
188
+ "language_model.model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
189
+ "language_model.model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
190
+ "language_model.model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
191
+ "language_model.model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
192
+ "language_model.model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
193
+ "language_model.model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
194
+ "language_model.model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
195
+ "language_model.model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
196
+ "language_model.model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
197
+ "language_model.model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
198
+ "language_model.model.layers.28.input_layernorm.weight": "model-00003-of-00004.safetensors",
199
+ "language_model.model.layers.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
200
+ "language_model.model.layers.28.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
201
+ "language_model.model.layers.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
202
+ "language_model.model.layers.28.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
203
+ "language_model.model.layers.28.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
204
+ "language_model.model.layers.28.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
205
+ "language_model.model.layers.28.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
206
+ "language_model.model.layers.28.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
207
+ "language_model.model.layers.29.input_layernorm.weight": "model-00003-of-00004.safetensors",
208
+ "language_model.model.layers.29.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
209
+ "language_model.model.layers.29.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
210
+ "language_model.model.layers.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
211
+ "language_model.model.layers.29.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
212
+ "language_model.model.layers.29.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
213
+ "language_model.model.layers.29.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
214
+ "language_model.model.layers.29.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
215
+ "language_model.model.layers.29.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
216
+ "language_model.model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
217
+ "language_model.model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
218
+ "language_model.model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
219
+ "language_model.model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
220
+ "language_model.model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
221
+ "language_model.model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
222
+ "language_model.model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
223
+ "language_model.model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
224
+ "language_model.model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
225
+ "language_model.model.layers.30.input_layernorm.weight": "model-00003-of-00004.safetensors",
226
+ "language_model.model.layers.30.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
227
+ "language_model.model.layers.30.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
228
+ "language_model.model.layers.30.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
229
+ "language_model.model.layers.30.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
230
+ "language_model.model.layers.30.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
231
+ "language_model.model.layers.30.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
232
+ "language_model.model.layers.30.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
233
+ "language_model.model.layers.30.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
234
+ "language_model.model.layers.31.input_layernorm.weight": "model-00004-of-00004.safetensors",
235
+ "language_model.model.layers.31.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
236
+ "language_model.model.layers.31.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
237
+ "language_model.model.layers.31.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
238
+ "language_model.model.layers.31.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
239
+ "language_model.model.layers.31.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
240
+ "language_model.model.layers.31.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
241
+ "language_model.model.layers.31.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
242
+ "language_model.model.layers.31.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
243
+ "language_model.model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
244
+ "language_model.model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
245
+ "language_model.model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
246
+ "language_model.model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
247
+ "language_model.model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
248
+ "language_model.model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
249
+ "language_model.model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
250
+ "language_model.model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
251
+ "language_model.model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
252
+ "language_model.model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
253
+ "language_model.model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
254
+ "language_model.model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
255
+ "language_model.model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
256
+ "language_model.model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
257
+ "language_model.model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
258
+ "language_model.model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
259
+ "language_model.model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
260
+ "language_model.model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
261
+ "language_model.model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
262
+ "language_model.model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
263
+ "language_model.model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
264
+ "language_model.model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
265
+ "language_model.model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
266
+ "language_model.model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
267
+ "language_model.model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
268
+ "language_model.model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
269
+ "language_model.model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
270
+ "language_model.model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
271
+ "language_model.model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
272
+ "language_model.model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
273
+ "language_model.model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
274
+ "language_model.model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
275
+ "language_model.model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
276
+ "language_model.model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
277
+ "language_model.model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
278
+ "language_model.model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
279
+ "language_model.model.layers.8.input_layernorm.weight": "model-00001-of-00004.safetensors",
280
+ "language_model.model.layers.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
281
+ "language_model.model.layers.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
282
+ "language_model.model.layers.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
283
+ "language_model.model.layers.8.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
284
+ "language_model.model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
285
+ "language_model.model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
286
+ "language_model.model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
287
+ "language_model.model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
288
+ "language_model.model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
289
+ "language_model.model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
290
+ "language_model.model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
291
+ "language_model.model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
292
+ "language_model.model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
293
+ "language_model.model.layers.9.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
294
+ "language_model.model.layers.9.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
295
+ "language_model.model.layers.9.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
296
+ "language_model.model.layers.9.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
297
+ "language_model.model.norm.weight": "model-00004-of-00004.safetensors",
298
+ "multi_modal_projector.linear_1.bias": "model-00001-of-00004.safetensors",
299
+ "multi_modal_projector.linear_1.weight": "model-00001-of-00004.safetensors",
300
+ "multi_modal_projector.linear_2.bias": "model-00001-of-00004.safetensors",
301
+ "multi_modal_projector.linear_2.weight": "model-00001-of-00004.safetensors",
302
+ "vision_tower.vision_model.embeddings.class_embedding": "model-00001-of-00004.safetensors",
303
+ "vision_tower.vision_model.embeddings.patch_embedding.weight": "model-00001-of-00004.safetensors",
304
+ "vision_tower.vision_model.embeddings.position_embedding.weight": "model-00001-of-00004.safetensors",
305
+ "vision_tower.vision_model.encoder.layers.0.layer_norm1.bias": "model-00001-of-00004.safetensors",
306
+ "vision_tower.vision_model.encoder.layers.0.layer_norm1.weight": "model-00001-of-00004.safetensors",
307
+ "vision_tower.vision_model.encoder.layers.0.layer_norm2.bias": "model-00001-of-00004.safetensors",
308
+ "vision_tower.vision_model.encoder.layers.0.layer_norm2.weight": "model-00001-of-00004.safetensors",
309
+ "vision_tower.vision_model.encoder.layers.0.mlp.fc1.bias": "model-00001-of-00004.safetensors",
310
+ "vision_tower.vision_model.encoder.layers.0.mlp.fc1.weight": "model-00001-of-00004.safetensors",
311
+ "vision_tower.vision_model.encoder.layers.0.mlp.fc2.bias": "model-00001-of-00004.safetensors",
312
+ "vision_tower.vision_model.encoder.layers.0.mlp.fc2.weight": "model-00001-of-00004.safetensors",
313
+ "vision_tower.vision_model.encoder.layers.0.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
314
+ "vision_tower.vision_model.encoder.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
315
+ "vision_tower.vision_model.encoder.layers.0.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
316
+ "vision_tower.vision_model.encoder.layers.0.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
317
+ "vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
318
+ "vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
319
+ "vision_tower.vision_model.encoder.layers.0.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
320
+ "vision_tower.vision_model.encoder.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
321
+ "vision_tower.vision_model.encoder.layers.1.layer_norm1.bias": "model-00001-of-00004.safetensors",
322
+ "vision_tower.vision_model.encoder.layers.1.layer_norm1.weight": "model-00001-of-00004.safetensors",
323
+ "vision_tower.vision_model.encoder.layers.1.layer_norm2.bias": "model-00001-of-00004.safetensors",
324
+ "vision_tower.vision_model.encoder.layers.1.layer_norm2.weight": "model-00001-of-00004.safetensors",
325
+ "vision_tower.vision_model.encoder.layers.1.mlp.fc1.bias": "model-00001-of-00004.safetensors",
326
+ "vision_tower.vision_model.encoder.layers.1.mlp.fc1.weight": "model-00001-of-00004.safetensors",
327
+ "vision_tower.vision_model.encoder.layers.1.mlp.fc2.bias": "model-00001-of-00004.safetensors",
328
+ "vision_tower.vision_model.encoder.layers.1.mlp.fc2.weight": "model-00001-of-00004.safetensors",
329
+ "vision_tower.vision_model.encoder.layers.1.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
330
+ "vision_tower.vision_model.encoder.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
331
+ "vision_tower.vision_model.encoder.layers.1.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
332
+ "vision_tower.vision_model.encoder.layers.1.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
333
+ "vision_tower.vision_model.encoder.layers.1.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
334
+ "vision_tower.vision_model.encoder.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
335
+ "vision_tower.vision_model.encoder.layers.1.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
336
+ "vision_tower.vision_model.encoder.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
337
+ "vision_tower.vision_model.encoder.layers.10.layer_norm1.bias": "model-00001-of-00004.safetensors",
338
+ "vision_tower.vision_model.encoder.layers.10.layer_norm1.weight": "model-00001-of-00004.safetensors",
339
+ "vision_tower.vision_model.encoder.layers.10.layer_norm2.bias": "model-00001-of-00004.safetensors",
340
+ "vision_tower.vision_model.encoder.layers.10.layer_norm2.weight": "model-00001-of-00004.safetensors",
341
+ "vision_tower.vision_model.encoder.layers.10.mlp.fc1.bias": "model-00001-of-00004.safetensors",
342
+ "vision_tower.vision_model.encoder.layers.10.mlp.fc1.weight": "model-00001-of-00004.safetensors",
343
+ "vision_tower.vision_model.encoder.layers.10.mlp.fc2.bias": "model-00001-of-00004.safetensors",
344
+ "vision_tower.vision_model.encoder.layers.10.mlp.fc2.weight": "model-00001-of-00004.safetensors",
345
+ "vision_tower.vision_model.encoder.layers.10.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
346
+ "vision_tower.vision_model.encoder.layers.10.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
347
+ "vision_tower.vision_model.encoder.layers.10.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
348
+ "vision_tower.vision_model.encoder.layers.10.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
349
+ "vision_tower.vision_model.encoder.layers.10.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
350
+ "vision_tower.vision_model.encoder.layers.10.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
351
+ "vision_tower.vision_model.encoder.layers.10.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
352
+ "vision_tower.vision_model.encoder.layers.10.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
353
+ "vision_tower.vision_model.encoder.layers.11.layer_norm1.bias": "model-00001-of-00004.safetensors",
354
+ "vision_tower.vision_model.encoder.layers.11.layer_norm1.weight": "model-00001-of-00004.safetensors",
355
+ "vision_tower.vision_model.encoder.layers.11.layer_norm2.bias": "model-00001-of-00004.safetensors",
356
+ "vision_tower.vision_model.encoder.layers.11.layer_norm2.weight": "model-00001-of-00004.safetensors",
357
+ "vision_tower.vision_model.encoder.layers.11.mlp.fc1.bias": "model-00001-of-00004.safetensors",
358
+ "vision_tower.vision_model.encoder.layers.11.mlp.fc1.weight": "model-00001-of-00004.safetensors",
359
+ "vision_tower.vision_model.encoder.layers.11.mlp.fc2.bias": "model-00001-of-00004.safetensors",
360
+ "vision_tower.vision_model.encoder.layers.11.mlp.fc2.weight": "model-00001-of-00004.safetensors",
361
+ "vision_tower.vision_model.encoder.layers.11.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
362
+ "vision_tower.vision_model.encoder.layers.11.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
363
+ "vision_tower.vision_model.encoder.layers.11.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
364
+ "vision_tower.vision_model.encoder.layers.11.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
365
+ "vision_tower.vision_model.encoder.layers.11.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
366
+ "vision_tower.vision_model.encoder.layers.11.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
367
+ "vision_tower.vision_model.encoder.layers.11.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
368
+ "vision_tower.vision_model.encoder.layers.11.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
369
+ "vision_tower.vision_model.encoder.layers.12.layer_norm1.bias": "model-00001-of-00004.safetensors",
370
+ "vision_tower.vision_model.encoder.layers.12.layer_norm1.weight": "model-00001-of-00004.safetensors",
371
+ "vision_tower.vision_model.encoder.layers.12.layer_norm2.bias": "model-00001-of-00004.safetensors",
372
+ "vision_tower.vision_model.encoder.layers.12.layer_norm2.weight": "model-00001-of-00004.safetensors",
373
+ "vision_tower.vision_model.encoder.layers.12.mlp.fc1.bias": "model-00001-of-00004.safetensors",
374
+ "vision_tower.vision_model.encoder.layers.12.mlp.fc1.weight": "model-00001-of-00004.safetensors",
375
+ "vision_tower.vision_model.encoder.layers.12.mlp.fc2.bias": "model-00001-of-00004.safetensors",
376
+ "vision_tower.vision_model.encoder.layers.12.mlp.fc2.weight": "model-00001-of-00004.safetensors",
377
+ "vision_tower.vision_model.encoder.layers.12.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
378
+ "vision_tower.vision_model.encoder.layers.12.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
379
+ "vision_tower.vision_model.encoder.layers.12.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
380
+ "vision_tower.vision_model.encoder.layers.12.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
381
+ "vision_tower.vision_model.encoder.layers.12.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
382
+ "vision_tower.vision_model.encoder.layers.12.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
383
+ "vision_tower.vision_model.encoder.layers.12.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
384
+ "vision_tower.vision_model.encoder.layers.12.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
385
+ "vision_tower.vision_model.encoder.layers.13.layer_norm1.bias": "model-00001-of-00004.safetensors",
386
+ "vision_tower.vision_model.encoder.layers.13.layer_norm1.weight": "model-00001-of-00004.safetensors",
387
+ "vision_tower.vision_model.encoder.layers.13.layer_norm2.bias": "model-00001-of-00004.safetensors",
388
+ "vision_tower.vision_model.encoder.layers.13.layer_norm2.weight": "model-00001-of-00004.safetensors",
389
+ "vision_tower.vision_model.encoder.layers.13.mlp.fc1.bias": "model-00001-of-00004.safetensors",
390
+ "vision_tower.vision_model.encoder.layers.13.mlp.fc1.weight": "model-00001-of-00004.safetensors",
391
+ "vision_tower.vision_model.encoder.layers.13.mlp.fc2.bias": "model-00001-of-00004.safetensors",
392
+ "vision_tower.vision_model.encoder.layers.13.mlp.fc2.weight": "model-00001-of-00004.safetensors",
393
+ "vision_tower.vision_model.encoder.layers.13.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
394
+ "vision_tower.vision_model.encoder.layers.13.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
395
+ "vision_tower.vision_model.encoder.layers.13.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
396
+ "vision_tower.vision_model.encoder.layers.13.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
397
+ "vision_tower.vision_model.encoder.layers.13.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
398
+ "vision_tower.vision_model.encoder.layers.13.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
399
+ "vision_tower.vision_model.encoder.layers.13.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
400
+ "vision_tower.vision_model.encoder.layers.13.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
401
+ "vision_tower.vision_model.encoder.layers.14.layer_norm1.bias": "model-00001-of-00004.safetensors",
402
+ "vision_tower.vision_model.encoder.layers.14.layer_norm1.weight": "model-00001-of-00004.safetensors",
403
+ "vision_tower.vision_model.encoder.layers.14.layer_norm2.bias": "model-00001-of-00004.safetensors",
404
+ "vision_tower.vision_model.encoder.layers.14.layer_norm2.weight": "model-00001-of-00004.safetensors",
405
+ "vision_tower.vision_model.encoder.layers.14.mlp.fc1.bias": "model-00001-of-00004.safetensors",
406
+ "vision_tower.vision_model.encoder.layers.14.mlp.fc1.weight": "model-00001-of-00004.safetensors",
407
+ "vision_tower.vision_model.encoder.layers.14.mlp.fc2.bias": "model-00001-of-00004.safetensors",
408
+ "vision_tower.vision_model.encoder.layers.14.mlp.fc2.weight": "model-00001-of-00004.safetensors",
409
+ "vision_tower.vision_model.encoder.layers.14.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
410
+ "vision_tower.vision_model.encoder.layers.14.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
411
+ "vision_tower.vision_model.encoder.layers.14.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
412
+ "vision_tower.vision_model.encoder.layers.14.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
413
+ "vision_tower.vision_model.encoder.layers.14.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
414
+ "vision_tower.vision_model.encoder.layers.14.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
415
+ "vision_tower.vision_model.encoder.layers.14.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
416
+ "vision_tower.vision_model.encoder.layers.14.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
417
+ "vision_tower.vision_model.encoder.layers.15.layer_norm1.bias": "model-00001-of-00004.safetensors",
418
+ "vision_tower.vision_model.encoder.layers.15.layer_norm1.weight": "model-00001-of-00004.safetensors",
419
+ "vision_tower.vision_model.encoder.layers.15.layer_norm2.bias": "model-00001-of-00004.safetensors",
420
+ "vision_tower.vision_model.encoder.layers.15.layer_norm2.weight": "model-00001-of-00004.safetensors",
421
+ "vision_tower.vision_model.encoder.layers.15.mlp.fc1.bias": "model-00001-of-00004.safetensors",
422
+ "vision_tower.vision_model.encoder.layers.15.mlp.fc1.weight": "model-00001-of-00004.safetensors",
423
+ "vision_tower.vision_model.encoder.layers.15.mlp.fc2.bias": "model-00001-of-00004.safetensors",
424
+ "vision_tower.vision_model.encoder.layers.15.mlp.fc2.weight": "model-00001-of-00004.safetensors",
425
+ "vision_tower.vision_model.encoder.layers.15.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
426
+ "vision_tower.vision_model.encoder.layers.15.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
427
+ "vision_tower.vision_model.encoder.layers.15.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
428
+ "vision_tower.vision_model.encoder.layers.15.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
429
+ "vision_tower.vision_model.encoder.layers.15.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
430
+ "vision_tower.vision_model.encoder.layers.15.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
431
+ "vision_tower.vision_model.encoder.layers.15.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
432
+ "vision_tower.vision_model.encoder.layers.15.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
433
+ "vision_tower.vision_model.encoder.layers.16.layer_norm1.bias": "model-00001-of-00004.safetensors",
434
+ "vision_tower.vision_model.encoder.layers.16.layer_norm1.weight": "model-00001-of-00004.safetensors",
435
+ "vision_tower.vision_model.encoder.layers.16.layer_norm2.bias": "model-00001-of-00004.safetensors",
436
+ "vision_tower.vision_model.encoder.layers.16.layer_norm2.weight": "model-00001-of-00004.safetensors",
437
+ "vision_tower.vision_model.encoder.layers.16.mlp.fc1.bias": "model-00001-of-00004.safetensors",
438
+ "vision_tower.vision_model.encoder.layers.16.mlp.fc1.weight": "model-00001-of-00004.safetensors",
439
+ "vision_tower.vision_model.encoder.layers.16.mlp.fc2.bias": "model-00001-of-00004.safetensors",
440
+ "vision_tower.vision_model.encoder.layers.16.mlp.fc2.weight": "model-00001-of-00004.safetensors",
441
+ "vision_tower.vision_model.encoder.layers.16.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
442
+ "vision_tower.vision_model.encoder.layers.16.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
443
+ "vision_tower.vision_model.encoder.layers.16.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
444
+ "vision_tower.vision_model.encoder.layers.16.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
445
+ "vision_tower.vision_model.encoder.layers.16.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
446
+ "vision_tower.vision_model.encoder.layers.16.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
447
+ "vision_tower.vision_model.encoder.layers.16.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
448
+ "vision_tower.vision_model.encoder.layers.16.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
449
+ "vision_tower.vision_model.encoder.layers.17.layer_norm1.bias": "model-00001-of-00004.safetensors",
450
+ "vision_tower.vision_model.encoder.layers.17.layer_norm1.weight": "model-00001-of-00004.safetensors",
451
+ "vision_tower.vision_model.encoder.layers.17.layer_norm2.bias": "model-00001-of-00004.safetensors",
452
+ "vision_tower.vision_model.encoder.layers.17.layer_norm2.weight": "model-00001-of-00004.safetensors",
453
+ "vision_tower.vision_model.encoder.layers.17.mlp.fc1.bias": "model-00001-of-00004.safetensors",
454
+ "vision_tower.vision_model.encoder.layers.17.mlp.fc1.weight": "model-00001-of-00004.safetensors",
455
+ "vision_tower.vision_model.encoder.layers.17.mlp.fc2.bias": "model-00001-of-00004.safetensors",
456
+ "vision_tower.vision_model.encoder.layers.17.mlp.fc2.weight": "model-00001-of-00004.safetensors",
457
+ "vision_tower.vision_model.encoder.layers.17.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
458
+ "vision_tower.vision_model.encoder.layers.17.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
459
+ "vision_tower.vision_model.encoder.layers.17.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
460
+ "vision_tower.vision_model.encoder.layers.17.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
461
+ "vision_tower.vision_model.encoder.layers.17.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
462
+ "vision_tower.vision_model.encoder.layers.17.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
463
+ "vision_tower.vision_model.encoder.layers.17.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
464
+ "vision_tower.vision_model.encoder.layers.17.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
465
+ "vision_tower.vision_model.encoder.layers.18.layer_norm1.bias": "model-00001-of-00004.safetensors",
466
+ "vision_tower.vision_model.encoder.layers.18.layer_norm1.weight": "model-00001-of-00004.safetensors",
467
+ "vision_tower.vision_model.encoder.layers.18.layer_norm2.bias": "model-00001-of-00004.safetensors",
468
+ "vision_tower.vision_model.encoder.layers.18.layer_norm2.weight": "model-00001-of-00004.safetensors",
469
+ "vision_tower.vision_model.encoder.layers.18.mlp.fc1.bias": "model-00001-of-00004.safetensors",
470
+ "vision_tower.vision_model.encoder.layers.18.mlp.fc1.weight": "model-00001-of-00004.safetensors",
471
+ "vision_tower.vision_model.encoder.layers.18.mlp.fc2.bias": "model-00001-of-00004.safetensors",
472
+ "vision_tower.vision_model.encoder.layers.18.mlp.fc2.weight": "model-00001-of-00004.safetensors",
473
+ "vision_tower.vision_model.encoder.layers.18.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
474
+ "vision_tower.vision_model.encoder.layers.18.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
475
+ "vision_tower.vision_model.encoder.layers.18.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
476
+ "vision_tower.vision_model.encoder.layers.18.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
477
+ "vision_tower.vision_model.encoder.layers.18.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
478
+ "vision_tower.vision_model.encoder.layers.18.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
479
+ "vision_tower.vision_model.encoder.layers.18.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
480
+ "vision_tower.vision_model.encoder.layers.18.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
481
+ "vision_tower.vision_model.encoder.layers.19.layer_norm1.bias": "model-00001-of-00004.safetensors",
482
+ "vision_tower.vision_model.encoder.layers.19.layer_norm1.weight": "model-00001-of-00004.safetensors",
483
+ "vision_tower.vision_model.encoder.layers.19.layer_norm2.bias": "model-00001-of-00004.safetensors",
484
+ "vision_tower.vision_model.encoder.layers.19.layer_norm2.weight": "model-00001-of-00004.safetensors",
485
+ "vision_tower.vision_model.encoder.layers.19.mlp.fc1.bias": "model-00001-of-00004.safetensors",
486
+ "vision_tower.vision_model.encoder.layers.19.mlp.fc1.weight": "model-00001-of-00004.safetensors",
487
+ "vision_tower.vision_model.encoder.layers.19.mlp.fc2.bias": "model-00001-of-00004.safetensors",
488
+ "vision_tower.vision_model.encoder.layers.19.mlp.fc2.weight": "model-00001-of-00004.safetensors",
489
+ "vision_tower.vision_model.encoder.layers.19.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
490
+ "vision_tower.vision_model.encoder.layers.19.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
491
+ "vision_tower.vision_model.encoder.layers.19.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
492
+ "vision_tower.vision_model.encoder.layers.19.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
493
+ "vision_tower.vision_model.encoder.layers.19.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
494
+ "vision_tower.vision_model.encoder.layers.19.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
495
+ "vision_tower.vision_model.encoder.layers.19.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
496
+ "vision_tower.vision_model.encoder.layers.19.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
497
+ "vision_tower.vision_model.encoder.layers.2.layer_norm1.bias": "model-00001-of-00004.safetensors",
498
+ "vision_tower.vision_model.encoder.layers.2.layer_norm1.weight": "model-00001-of-00004.safetensors",
499
+ "vision_tower.vision_model.encoder.layers.2.layer_norm2.bias": "model-00001-of-00004.safetensors",
500
+ "vision_tower.vision_model.encoder.layers.2.layer_norm2.weight": "model-00001-of-00004.safetensors",
501
+ "vision_tower.vision_model.encoder.layers.2.mlp.fc1.bias": "model-00001-of-00004.safetensors",
502
+ "vision_tower.vision_model.encoder.layers.2.mlp.fc1.weight": "model-00001-of-00004.safetensors",
503
+ "vision_tower.vision_model.encoder.layers.2.mlp.fc2.bias": "model-00001-of-00004.safetensors",
504
+ "vision_tower.vision_model.encoder.layers.2.mlp.fc2.weight": "model-00001-of-00004.safetensors",
505
+ "vision_tower.vision_model.encoder.layers.2.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
506
+ "vision_tower.vision_model.encoder.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
507
+ "vision_tower.vision_model.encoder.layers.2.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
508
+ "vision_tower.vision_model.encoder.layers.2.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
509
+ "vision_tower.vision_model.encoder.layers.2.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
510
+ "vision_tower.vision_model.encoder.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
511
+ "vision_tower.vision_model.encoder.layers.2.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
512
+ "vision_tower.vision_model.encoder.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
513
+ "vision_tower.vision_model.encoder.layers.20.layer_norm1.bias": "model-00001-of-00004.safetensors",
514
+ "vision_tower.vision_model.encoder.layers.20.layer_norm1.weight": "model-00001-of-00004.safetensors",
515
+ "vision_tower.vision_model.encoder.layers.20.layer_norm2.bias": "model-00001-of-00004.safetensors",
516
+ "vision_tower.vision_model.encoder.layers.20.layer_norm2.weight": "model-00001-of-00004.safetensors",
517
+ "vision_tower.vision_model.encoder.layers.20.mlp.fc1.bias": "model-00001-of-00004.safetensors",
518
+ "vision_tower.vision_model.encoder.layers.20.mlp.fc1.weight": "model-00001-of-00004.safetensors",
519
+ "vision_tower.vision_model.encoder.layers.20.mlp.fc2.bias": "model-00001-of-00004.safetensors",
520
+ "vision_tower.vision_model.encoder.layers.20.mlp.fc2.weight": "model-00001-of-00004.safetensors",
521
+ "vision_tower.vision_model.encoder.layers.20.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
522
+ "vision_tower.vision_model.encoder.layers.20.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
523
+ "vision_tower.vision_model.encoder.layers.20.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
524
+ "vision_tower.vision_model.encoder.layers.20.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
525
+ "vision_tower.vision_model.encoder.layers.20.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
526
+ "vision_tower.vision_model.encoder.layers.20.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
527
+ "vision_tower.vision_model.encoder.layers.20.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
528
+ "vision_tower.vision_model.encoder.layers.20.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
529
+ "vision_tower.vision_model.encoder.layers.21.layer_norm1.bias": "model-00001-of-00004.safetensors",
530
+ "vision_tower.vision_model.encoder.layers.21.layer_norm1.weight": "model-00001-of-00004.safetensors",
531
+ "vision_tower.vision_model.encoder.layers.21.layer_norm2.bias": "model-00001-of-00004.safetensors",
532
+ "vision_tower.vision_model.encoder.layers.21.layer_norm2.weight": "model-00001-of-00004.safetensors",
533
+ "vision_tower.vision_model.encoder.layers.21.mlp.fc1.bias": "model-00001-of-00004.safetensors",
534
+ "vision_tower.vision_model.encoder.layers.21.mlp.fc1.weight": "model-00001-of-00004.safetensors",
535
+ "vision_tower.vision_model.encoder.layers.21.mlp.fc2.bias": "model-00001-of-00004.safetensors",
536
+ "vision_tower.vision_model.encoder.layers.21.mlp.fc2.weight": "model-00001-of-00004.safetensors",
537
+ "vision_tower.vision_model.encoder.layers.21.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
538
+ "vision_tower.vision_model.encoder.layers.21.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
539
+ "vision_tower.vision_model.encoder.layers.21.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
540
+ "vision_tower.vision_model.encoder.layers.21.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
541
+ "vision_tower.vision_model.encoder.layers.21.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
542
+ "vision_tower.vision_model.encoder.layers.21.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
543
+ "vision_tower.vision_model.encoder.layers.21.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
544
+ "vision_tower.vision_model.encoder.layers.21.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
545
+ "vision_tower.vision_model.encoder.layers.22.layer_norm1.bias": "model-00001-of-00004.safetensors",
546
+ "vision_tower.vision_model.encoder.layers.22.layer_norm1.weight": "model-00001-of-00004.safetensors",
547
+ "vision_tower.vision_model.encoder.layers.22.layer_norm2.bias": "model-00001-of-00004.safetensors",
548
+ "vision_tower.vision_model.encoder.layers.22.layer_norm2.weight": "model-00001-of-00004.safetensors",
549
+ "vision_tower.vision_model.encoder.layers.22.mlp.fc1.bias": "model-00001-of-00004.safetensors",
550
+ "vision_tower.vision_model.encoder.layers.22.mlp.fc1.weight": "model-00001-of-00004.safetensors",
551
+ "vision_tower.vision_model.encoder.layers.22.mlp.fc2.bias": "model-00001-of-00004.safetensors",
552
+ "vision_tower.vision_model.encoder.layers.22.mlp.fc2.weight": "model-00001-of-00004.safetensors",
553
+ "vision_tower.vision_model.encoder.layers.22.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
554
+ "vision_tower.vision_model.encoder.layers.22.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
555
+ "vision_tower.vision_model.encoder.layers.22.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
556
+ "vision_tower.vision_model.encoder.layers.22.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
557
+ "vision_tower.vision_model.encoder.layers.22.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
558
+ "vision_tower.vision_model.encoder.layers.22.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
559
+ "vision_tower.vision_model.encoder.layers.22.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
560
+ "vision_tower.vision_model.encoder.layers.22.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
561
+ "vision_tower.vision_model.encoder.layers.23.layer_norm1.bias": "model-00001-of-00004.safetensors",
562
+ "vision_tower.vision_model.encoder.layers.23.layer_norm1.weight": "model-00001-of-00004.safetensors",
563
+ "vision_tower.vision_model.encoder.layers.23.layer_norm2.bias": "model-00001-of-00004.safetensors",
564
+ "vision_tower.vision_model.encoder.layers.23.layer_norm2.weight": "model-00001-of-00004.safetensors",
565
+ "vision_tower.vision_model.encoder.layers.23.mlp.fc1.bias": "model-00001-of-00004.safetensors",
566
+ "vision_tower.vision_model.encoder.layers.23.mlp.fc1.weight": "model-00001-of-00004.safetensors",
567
+ "vision_tower.vision_model.encoder.layers.23.mlp.fc2.bias": "model-00001-of-00004.safetensors",
568
+ "vision_tower.vision_model.encoder.layers.23.mlp.fc2.weight": "model-00001-of-00004.safetensors",
569
+ "vision_tower.vision_model.encoder.layers.23.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
570
+ "vision_tower.vision_model.encoder.layers.23.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
571
+ "vision_tower.vision_model.encoder.layers.23.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
572
+ "vision_tower.vision_model.encoder.layers.23.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
573
+ "vision_tower.vision_model.encoder.layers.23.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
574
+ "vision_tower.vision_model.encoder.layers.23.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
575
+ "vision_tower.vision_model.encoder.layers.23.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
576
+ "vision_tower.vision_model.encoder.layers.23.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
577
+ "vision_tower.vision_model.encoder.layers.3.layer_norm1.bias": "model-00001-of-00004.safetensors",
578
+ "vision_tower.vision_model.encoder.layers.3.layer_norm1.weight": "model-00001-of-00004.safetensors",
579
+ "vision_tower.vision_model.encoder.layers.3.layer_norm2.bias": "model-00001-of-00004.safetensors",
580
+ "vision_tower.vision_model.encoder.layers.3.layer_norm2.weight": "model-00001-of-00004.safetensors",
581
+ "vision_tower.vision_model.encoder.layers.3.mlp.fc1.bias": "model-00001-of-00004.safetensors",
582
+ "vision_tower.vision_model.encoder.layers.3.mlp.fc1.weight": "model-00001-of-00004.safetensors",
583
+ "vision_tower.vision_model.encoder.layers.3.mlp.fc2.bias": "model-00001-of-00004.safetensors",
584
+ "vision_tower.vision_model.encoder.layers.3.mlp.fc2.weight": "model-00001-of-00004.safetensors",
585
+ "vision_tower.vision_model.encoder.layers.3.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
586
+ "vision_tower.vision_model.encoder.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
587
+ "vision_tower.vision_model.encoder.layers.3.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
588
+ "vision_tower.vision_model.encoder.layers.3.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
589
+ "vision_tower.vision_model.encoder.layers.3.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
590
+ "vision_tower.vision_model.encoder.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
591
+ "vision_tower.vision_model.encoder.layers.3.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
592
+ "vision_tower.vision_model.encoder.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
593
+ "vision_tower.vision_model.encoder.layers.4.layer_norm1.bias": "model-00001-of-00004.safetensors",
594
+ "vision_tower.vision_model.encoder.layers.4.layer_norm1.weight": "model-00001-of-00004.safetensors",
595
+ "vision_tower.vision_model.encoder.layers.4.layer_norm2.bias": "model-00001-of-00004.safetensors",
596
+ "vision_tower.vision_model.encoder.layers.4.layer_norm2.weight": "model-00001-of-00004.safetensors",
597
+ "vision_tower.vision_model.encoder.layers.4.mlp.fc1.bias": "model-00001-of-00004.safetensors",
598
+ "vision_tower.vision_model.encoder.layers.4.mlp.fc1.weight": "model-00001-of-00004.safetensors",
599
+ "vision_tower.vision_model.encoder.layers.4.mlp.fc2.bias": "model-00001-of-00004.safetensors",
600
+ "vision_tower.vision_model.encoder.layers.4.mlp.fc2.weight": "model-00001-of-00004.safetensors",
601
+ "vision_tower.vision_model.encoder.layers.4.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
602
+ "vision_tower.vision_model.encoder.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
603
+ "vision_tower.vision_model.encoder.layers.4.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
604
+ "vision_tower.vision_model.encoder.layers.4.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
605
+ "vision_tower.vision_model.encoder.layers.4.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
606
+ "vision_tower.vision_model.encoder.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
607
+ "vision_tower.vision_model.encoder.layers.4.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
608
+ "vision_tower.vision_model.encoder.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
609
+ "vision_tower.vision_model.encoder.layers.5.layer_norm1.bias": "model-00001-of-00004.safetensors",
610
+ "vision_tower.vision_model.encoder.layers.5.layer_norm1.weight": "model-00001-of-00004.safetensors",
611
+ "vision_tower.vision_model.encoder.layers.5.layer_norm2.bias": "model-00001-of-00004.safetensors",
612
+ "vision_tower.vision_model.encoder.layers.5.layer_norm2.weight": "model-00001-of-00004.safetensors",
613
+ "vision_tower.vision_model.encoder.layers.5.mlp.fc1.bias": "model-00001-of-00004.safetensors",
614
+ "vision_tower.vision_model.encoder.layers.5.mlp.fc1.weight": "model-00001-of-00004.safetensors",
615
+ "vision_tower.vision_model.encoder.layers.5.mlp.fc2.bias": "model-00001-of-00004.safetensors",
616
+ "vision_tower.vision_model.encoder.layers.5.mlp.fc2.weight": "model-00001-of-00004.safetensors",
617
+ "vision_tower.vision_model.encoder.layers.5.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
618
+ "vision_tower.vision_model.encoder.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
619
+ "vision_tower.vision_model.encoder.layers.5.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
620
+ "vision_tower.vision_model.encoder.layers.5.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
621
+ "vision_tower.vision_model.encoder.layers.5.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
622
+ "vision_tower.vision_model.encoder.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
623
+ "vision_tower.vision_model.encoder.layers.5.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
624
+ "vision_tower.vision_model.encoder.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
625
+ "vision_tower.vision_model.encoder.layers.6.layer_norm1.bias": "model-00001-of-00004.safetensors",
626
+ "vision_tower.vision_model.encoder.layers.6.layer_norm1.weight": "model-00001-of-00004.safetensors",
627
+ "vision_tower.vision_model.encoder.layers.6.layer_norm2.bias": "model-00001-of-00004.safetensors",
628
+ "vision_tower.vision_model.encoder.layers.6.layer_norm2.weight": "model-00001-of-00004.safetensors",
629
+ "vision_tower.vision_model.encoder.layers.6.mlp.fc1.bias": "model-00001-of-00004.safetensors",
630
+ "vision_tower.vision_model.encoder.layers.6.mlp.fc1.weight": "model-00001-of-00004.safetensors",
631
+ "vision_tower.vision_model.encoder.layers.6.mlp.fc2.bias": "model-00001-of-00004.safetensors",
632
+ "vision_tower.vision_model.encoder.layers.6.mlp.fc2.weight": "model-00001-of-00004.safetensors",
633
+ "vision_tower.vision_model.encoder.layers.6.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
634
+ "vision_tower.vision_model.encoder.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
635
+ "vision_tower.vision_model.encoder.layers.6.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
636
+ "vision_tower.vision_model.encoder.layers.6.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
637
+ "vision_tower.vision_model.encoder.layers.6.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
638
+ "vision_tower.vision_model.encoder.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
639
+ "vision_tower.vision_model.encoder.layers.6.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
640
+ "vision_tower.vision_model.encoder.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
641
+ "vision_tower.vision_model.encoder.layers.7.layer_norm1.bias": "model-00001-of-00004.safetensors",
642
+ "vision_tower.vision_model.encoder.layers.7.layer_norm1.weight": "model-00001-of-00004.safetensors",
643
+ "vision_tower.vision_model.encoder.layers.7.layer_norm2.bias": "model-00001-of-00004.safetensors",
644
+ "vision_tower.vision_model.encoder.layers.7.layer_norm2.weight": "model-00001-of-00004.safetensors",
645
+ "vision_tower.vision_model.encoder.layers.7.mlp.fc1.bias": "model-00001-of-00004.safetensors",
646
+ "vision_tower.vision_model.encoder.layers.7.mlp.fc1.weight": "model-00001-of-00004.safetensors",
647
+ "vision_tower.vision_model.encoder.layers.7.mlp.fc2.bias": "model-00001-of-00004.safetensors",
648
+ "vision_tower.vision_model.encoder.layers.7.mlp.fc2.weight": "model-00001-of-00004.safetensors",
649
+ "vision_tower.vision_model.encoder.layers.7.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
650
+ "vision_tower.vision_model.encoder.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
651
+ "vision_tower.vision_model.encoder.layers.7.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
652
+ "vision_tower.vision_model.encoder.layers.7.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
653
+ "vision_tower.vision_model.encoder.layers.7.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
654
+ "vision_tower.vision_model.encoder.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
655
+ "vision_tower.vision_model.encoder.layers.7.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
656
+ "vision_tower.vision_model.encoder.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
657
+ "vision_tower.vision_model.encoder.layers.8.layer_norm1.bias": "model-00001-of-00004.safetensors",
658
+ "vision_tower.vision_model.encoder.layers.8.layer_norm1.weight": "model-00001-of-00004.safetensors",
659
+ "vision_tower.vision_model.encoder.layers.8.layer_norm2.bias": "model-00001-of-00004.safetensors",
660
+ "vision_tower.vision_model.encoder.layers.8.layer_norm2.weight": "model-00001-of-00004.safetensors",
661
+ "vision_tower.vision_model.encoder.layers.8.mlp.fc1.bias": "model-00001-of-00004.safetensors",
662
+ "vision_tower.vision_model.encoder.layers.8.mlp.fc1.weight": "model-00001-of-00004.safetensors",
663
+ "vision_tower.vision_model.encoder.layers.8.mlp.fc2.bias": "model-00001-of-00004.safetensors",
664
+ "vision_tower.vision_model.encoder.layers.8.mlp.fc2.weight": "model-00001-of-00004.safetensors",
665
+ "vision_tower.vision_model.encoder.layers.8.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
666
+ "vision_tower.vision_model.encoder.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
667
+ "vision_tower.vision_model.encoder.layers.8.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
668
+ "vision_tower.vision_model.encoder.layers.8.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
669
+ "vision_tower.vision_model.encoder.layers.8.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
670
+ "vision_tower.vision_model.encoder.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
671
+ "vision_tower.vision_model.encoder.layers.8.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
672
+ "vision_tower.vision_model.encoder.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
673
+ "vision_tower.vision_model.encoder.layers.9.layer_norm1.bias": "model-00001-of-00004.safetensors",
674
+ "vision_tower.vision_model.encoder.layers.9.layer_norm1.weight": "model-00001-of-00004.safetensors",
675
+ "vision_tower.vision_model.encoder.layers.9.layer_norm2.bias": "model-00001-of-00004.safetensors",
676
+ "vision_tower.vision_model.encoder.layers.9.layer_norm2.weight": "model-00001-of-00004.safetensors",
677
+ "vision_tower.vision_model.encoder.layers.9.mlp.fc1.bias": "model-00001-of-00004.safetensors",
678
+ "vision_tower.vision_model.encoder.layers.9.mlp.fc1.weight": "model-00001-of-00004.safetensors",
679
+ "vision_tower.vision_model.encoder.layers.9.mlp.fc2.bias": "model-00001-of-00004.safetensors",
680
+ "vision_tower.vision_model.encoder.layers.9.mlp.fc2.weight": "model-00001-of-00004.safetensors",
681
+ "vision_tower.vision_model.encoder.layers.9.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
682
+ "vision_tower.vision_model.encoder.layers.9.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
683
+ "vision_tower.vision_model.encoder.layers.9.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
684
+ "vision_tower.vision_model.encoder.layers.9.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
685
+ "vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
686
+ "vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
687
+ "vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
688
+ "vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
689
+ "vision_tower.vision_model.post_layernorm.bias": "model-00001-of-00004.safetensors",
690
+ "vision_tower.vision_model.post_layernorm.weight": "model-00001-of-00004.safetensors",
691
+ "vision_tower.vision_model.pre_layrnorm.bias": "model-00001-of-00004.safetensors",
692
+ "vision_tower.vision_model.pre_layrnorm.weight": "model-00001-of-00004.safetensors"
693
+ }
694
+ }
checkpoint-100/preprocessor_config.json ADDED
@@ -0,0 +1,52 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "aspect_ratio_setting": "anyres",
3
+ "crop_size": {
4
+ "height": 336,
5
+ "width": 336
6
+ },
7
+ "do_center_crop": true,
8
+ "do_convert_rgb": true,
9
+ "do_normalize": true,
10
+ "do_pad": true,
11
+ "do_rescale": true,
12
+ "do_resize": true,
13
+ "image_grid_pinpoints": [
14
+ [
15
+ 336,
16
+ 672
17
+ ],
18
+ [
19
+ 672,
20
+ 336
21
+ ],
22
+ [
23
+ 672,
24
+ 672
25
+ ],
26
+ [
27
+ 1008,
28
+ 336
29
+ ],
30
+ [
31
+ 336,
32
+ 1008
33
+ ]
34
+ ],
35
+ "image_mean": [
36
+ 0.48145466,
37
+ 0.4578275,
38
+ 0.40821073
39
+ ],
40
+ "image_processor_type": "LlavaNextImageProcessor",
41
+ "image_std": [
42
+ 0.26862954,
43
+ 0.26130258,
44
+ 0.27577711
45
+ ],
46
+ "processor_class": "LlavaNextProcessor",
47
+ "resample": 3,
48
+ "rescale_factor": 0.00392156862745098,
49
+ "size": {
50
+ "shortest_edge": 336
51
+ }
52
+ }
checkpoint-100/special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "<pad>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "<unk>",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
checkpoint-100/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-100/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
3
+ size 493443
checkpoint-100/tokenizer_config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": null,
5
+ "added_tokens_decoder": {
6
+ "0": {
7
+ "content": "<unk>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": true
13
+ },
14
+ "1": {
15
+ "content": "<s>",
16
+ "lstrip": false,
17
+ "normalized": false,
18
+ "rstrip": false,
19
+ "single_word": false,
20
+ "special": true
21
+ },
22
+ "2": {
23
+ "content": "</s>",
24
+ "lstrip": false,
25
+ "normalized": false,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": true
29
+ },
30
+ "32000": {
31
+ "content": "<image>",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false,
36
+ "special": true
37
+ },
38
+ "32001": {
39
+ "content": "<pad>",
40
+ "lstrip": false,
41
+ "normalized": false,
42
+ "rstrip": false,
43
+ "single_word": false,
44
+ "special": true
45
+ }
46
+ },
47
+ "additional_special_tokens": [],
48
+ "bos_token": "<s>",
49
+ "chat_template": "{{ '<s>' }}{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% endif %}{% if system_message is defined %}{{ system_message }}{% endif %}{% for message in loop_messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '`[INST] `' + content + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ content + '</s>' }}{% endif %}{% endfor %}",
50
+ "clean_up_tokenization_spaces": false,
51
+ "eos_token": "</s>",
52
+ "extra_special_tokens": {
53
+ "image_token": "<image>"
54
+ },
55
+ "image_token": "<image>",
56
+ "legacy": true,
57
+ "max_length": null,
58
+ "model_max_length": 1000000000000000019884624838656,
59
+ "pad_to_multiple_of": null,
60
+ "pad_token": "<pad>",
61
+ "pad_token_type_id": 0,
62
+ "padding_side": "right",
63
+ "processor_class": "LlavaNextProcessor",
64
+ "sp_model_kwargs": {},
65
+ "spaces_between_special_tokens": false,
66
+ "split_special_tokens": false,
67
+ "tokenizer_class": "LlamaTokenizer",
68
+ "unk_token": "<unk>",
69
+ "use_default_system_prompt": false
70
+ }
checkpoint-100/trainer_state.json ADDED
@@ -0,0 +1,365 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.3418803418803419,
5
+ "eval_steps": 50,
6
+ "global_step": 100,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.017094017094017096,
13
+ "grad_norm": 35.00202204303521,
14
+ "learning_rate": 5e-07,
15
+ "logits/chosen": -2.7455849647521973,
16
+ "logits/rejected": -2.7442612648010254,
17
+ "logps/chosen": -164.2725830078125,
18
+ "logps/rejected": -170.57113647460938,
19
+ "loss": 0.6934,
20
+ "rewards/accuracies": 0.23749999701976776,
21
+ "rewards/chosen": 0.0026612328365445137,
22
+ "rewards/margins": -0.001539617427624762,
23
+ "rewards/rejected": 0.004200850613415241,
24
+ "step": 5
25
+ },
26
+ {
27
+ "epoch": 0.03418803418803419,
28
+ "grad_norm": 36.29266486314593,
29
+ "learning_rate": 1e-06,
30
+ "logits/chosen": -2.709902763366699,
31
+ "logits/rejected": -2.7155404090881348,
32
+ "logps/chosen": -171.80032348632812,
33
+ "logps/rejected": -165.20169067382812,
34
+ "loss": 0.6879,
35
+ "rewards/accuracies": 0.5062500238418579,
36
+ "rewards/chosen": 0.012009668163955212,
37
+ "rewards/margins": 0.0021203968208283186,
38
+ "rewards/rejected": 0.009889272041618824,
39
+ "step": 10
40
+ },
41
+ {
42
+ "epoch": 0.05128205128205128,
43
+ "grad_norm": 33.83921269470837,
44
+ "learning_rate": 9.999177507263144e-07,
45
+ "logits/chosen": -2.6502068042755127,
46
+ "logits/rejected": -2.628007411956787,
47
+ "logps/chosen": -174.082275390625,
48
+ "logps/rejected": -174.13429260253906,
49
+ "loss": 0.6698,
50
+ "rewards/accuracies": 0.643750011920929,
51
+ "rewards/chosen": 0.23495244979858398,
52
+ "rewards/margins": 0.1125468835234642,
53
+ "rewards/rejected": 0.12240554392337799,
54
+ "step": 15
55
+ },
56
+ {
57
+ "epoch": 0.06837606837606838,
58
+ "grad_norm": 34.14427373918799,
59
+ "learning_rate": 9.996710299650301e-07,
60
+ "logits/chosen": -2.473665714263916,
61
+ "logits/rejected": -2.4469008445739746,
62
+ "logps/chosen": -158.2163848876953,
63
+ "logps/rejected": -158.0710906982422,
64
+ "loss": 0.661,
65
+ "rewards/accuracies": 0.581250011920929,
66
+ "rewards/chosen": 0.4233472943305969,
67
+ "rewards/margins": 0.1434161365032196,
68
+ "rewards/rejected": 0.2799311578273773,
69
+ "step": 20
70
+ },
71
+ {
72
+ "epoch": 0.08547008547008547,
73
+ "grad_norm": 33.2696083475879,
74
+ "learning_rate": 9.992599188865604e-07,
75
+ "logits/chosen": -2.314507007598877,
76
+ "logits/rejected": -2.3168132305145264,
77
+ "logps/chosen": -150.67019653320312,
78
+ "logps/rejected": -156.8417510986328,
79
+ "loss": 0.6501,
80
+ "rewards/accuracies": 0.543749988079071,
81
+ "rewards/chosen": 0.4975205063819885,
82
+ "rewards/margins": 0.15743504464626312,
83
+ "rewards/rejected": 0.3400854766368866,
84
+ "step": 25
85
+ },
86
+ {
87
+ "epoch": 0.10256410256410256,
88
+ "grad_norm": 34.42253361988952,
89
+ "learning_rate": 9.98684552745256e-07,
90
+ "logits/chosen": -2.243194103240967,
91
+ "logits/rejected": -2.251340866088867,
92
+ "logps/chosen": -161.2266845703125,
93
+ "logps/rejected": -161.32298278808594,
94
+ "loss": 0.6289,
95
+ "rewards/accuracies": 0.6187499761581421,
96
+ "rewards/chosen": 0.4243805408477783,
97
+ "rewards/margins": 0.2635195851325989,
98
+ "rewards/rejected": 0.16086098551750183,
99
+ "step": 30
100
+ },
101
+ {
102
+ "epoch": 0.11965811965811966,
103
+ "grad_norm": 31.414296706456245,
104
+ "learning_rate": 9.979451208349055e-07,
105
+ "logits/chosen": -2.30315899848938,
106
+ "logits/rejected": -2.289762496948242,
107
+ "logps/chosen": -171.71713256835938,
108
+ "logps/rejected": -174.50900268554688,
109
+ "loss": 0.6296,
110
+ "rewards/accuracies": 0.65625,
111
+ "rewards/chosen": -0.019384615123271942,
112
+ "rewards/margins": 0.318477988243103,
113
+ "rewards/rejected": -0.3378625512123108,
114
+ "step": 35
115
+ },
116
+ {
117
+ "epoch": 0.13675213675213677,
118
+ "grad_norm": 32.071830655862556,
119
+ "learning_rate": 9.970418664264595e-07,
120
+ "logits/chosen": -2.3935599327087402,
121
+ "logits/rejected": -2.3812546730041504,
122
+ "logps/chosen": -171.0698699951172,
123
+ "logps/rejected": -176.58578491210938,
124
+ "loss": 0.5991,
125
+ "rewards/accuracies": 0.675000011920929,
126
+ "rewards/chosen": -0.26089853048324585,
127
+ "rewards/margins": 0.5235068202018738,
128
+ "rewards/rejected": -0.7844053506851196,
129
+ "step": 40
130
+ },
131
+ {
132
+ "epoch": 0.15384615384615385,
133
+ "grad_norm": 36.19466541168301,
134
+ "learning_rate": 9.95975086687994e-07,
135
+ "logits/chosen": -2.4914021492004395,
136
+ "logits/rejected": -2.4973323345184326,
137
+ "logps/chosen": -163.68099975585938,
138
+ "logps/rejected": -167.174072265625,
139
+ "loss": 0.6141,
140
+ "rewards/accuracies": 0.7250000238418579,
141
+ "rewards/chosen": -0.2962096929550171,
142
+ "rewards/margins": 0.4588828682899475,
143
+ "rewards/rejected": -0.7550925016403198,
144
+ "step": 45
145
+ },
146
+ {
147
+ "epoch": 0.17094017094017094,
148
+ "grad_norm": 31.16276115760231,
149
+ "learning_rate": 9.947451325869439e-07,
150
+ "logits/chosen": -2.5575203895568848,
151
+ "logits/rejected": -2.557717800140381,
152
+ "logps/chosen": -172.04318237304688,
153
+ "logps/rejected": -177.67672729492188,
154
+ "loss": 0.5777,
155
+ "rewards/accuracies": 0.731249988079071,
156
+ "rewards/chosen": -0.2069791853427887,
157
+ "rewards/margins": 0.6018465757369995,
158
+ "rewards/rejected": -0.808825671672821,
159
+ "step": 50
160
+ },
161
+ {
162
+ "epoch": 0.17094017094017094,
163
+ "eval_logits/chosen": -2.5221025943756104,
164
+ "eval_logits/rejected": -2.5152711868286133,
165
+ "eval_logps/chosen": -163.01820373535156,
166
+ "eval_logps/rejected": -169.54832458496094,
167
+ "eval_loss": 0.5812540650367737,
168
+ "eval_rewards/accuracies": 0.6682692170143127,
169
+ "eval_rewards/chosen": -0.45408713817596436,
170
+ "eval_rewards/margins": 0.6127156615257263,
171
+ "eval_rewards/rejected": -1.0668028593063354,
172
+ "eval_runtime": 510.3361,
173
+ "eval_samples_per_second": 16.291,
174
+ "eval_steps_per_second": 0.255,
175
+ "step": 50
176
+ },
177
+ {
178
+ "epoch": 0.18803418803418803,
179
+ "grad_norm": 31.575578721339145,
180
+ "learning_rate": 9.933524087746347e-07,
181
+ "logits/chosen": -2.490377426147461,
182
+ "logits/rejected": -2.4825081825256348,
183
+ "logps/chosen": -168.06161499023438,
184
+ "logps/rejected": -175.0494384765625,
185
+ "loss": 0.5706,
186
+ "rewards/accuracies": 0.737500011920929,
187
+ "rewards/chosen": -0.5060762763023376,
188
+ "rewards/margins": 0.7589826583862305,
189
+ "rewards/rejected": -1.2650587558746338,
190
+ "step": 55
191
+ },
192
+ {
193
+ "epoch": 0.20512820512820512,
194
+ "grad_norm": 30.171745273288415,
195
+ "learning_rate": 9.917973734531549e-07,
196
+ "logits/chosen": -2.48228120803833,
197
+ "logits/rejected": -2.4833157062530518,
198
+ "logps/chosen": -159.47142028808594,
199
+ "logps/rejected": -170.63671875,
200
+ "loss": 0.5753,
201
+ "rewards/accuracies": 0.675000011920929,
202
+ "rewards/chosen": -0.35752761363983154,
203
+ "rewards/margins": 0.5991309881210327,
204
+ "rewards/rejected": -0.9566585421562195,
205
+ "step": 60
206
+ },
207
+ {
208
+ "epoch": 0.2222222222222222,
209
+ "grad_norm": 32.13878319029882,
210
+ "learning_rate": 9.90080538224607e-07,
211
+ "logits/chosen": -2.585407018661499,
212
+ "logits/rejected": -2.5767769813537598,
213
+ "logps/chosen": -157.43936157226562,
214
+ "logps/rejected": -166.13589477539062,
215
+ "loss": 0.566,
216
+ "rewards/accuracies": 0.6937500238418579,
217
+ "rewards/chosen": -0.02057185396552086,
218
+ "rewards/margins": 0.47568243741989136,
219
+ "rewards/rejected": -0.4962543547153473,
220
+ "step": 65
221
+ },
222
+ {
223
+ "epoch": 0.23931623931623933,
224
+ "grad_norm": 29.494674721856043,
225
+ "learning_rate": 9.882024679227938e-07,
226
+ "logits/chosen": -2.6504979133605957,
227
+ "logits/rejected": -2.6398470401763916,
228
+ "logps/chosen": -178.0801239013672,
229
+ "logps/rejected": -179.46328735351562,
230
+ "loss": 0.5444,
231
+ "rewards/accuracies": 0.706250011920929,
232
+ "rewards/chosen": -0.43436694145202637,
233
+ "rewards/margins": 0.8427752256393433,
234
+ "rewards/rejected": -1.27714204788208,
235
+ "step": 70
236
+ },
237
+ {
238
+ "epoch": 0.2564102564102564,
239
+ "grad_norm": 28.856733948308104,
240
+ "learning_rate": 9.861637804273881e-07,
241
+ "logits/chosen": -2.660489082336426,
242
+ "logits/rejected": -2.655539035797119,
243
+ "logps/chosen": -162.1233673095703,
244
+ "logps/rejected": -170.16131591796875,
245
+ "loss": 0.5568,
246
+ "rewards/accuracies": 0.699999988079071,
247
+ "rewards/chosen": -0.4032784402370453,
248
+ "rewards/margins": 0.6959114074707031,
249
+ "rewards/rejected": -1.0991899967193604,
250
+ "step": 75
251
+ },
252
+ {
253
+ "epoch": 0.27350427350427353,
254
+ "grad_norm": 26.646061534818323,
255
+ "learning_rate": 9.83965146460653e-07,
256
+ "logits/chosen": -2.6391615867614746,
257
+ "logits/rejected": -2.628577709197998,
258
+ "logps/chosen": -168.58099365234375,
259
+ "logps/rejected": -179.22805786132812,
260
+ "loss": 0.5448,
261
+ "rewards/accuracies": 0.6812499761581421,
262
+ "rewards/chosen": -0.6665827035903931,
263
+ "rewards/margins": 0.8240470886230469,
264
+ "rewards/rejected": -1.4906299114227295,
265
+ "step": 80
266
+ },
267
+ {
268
+ "epoch": 0.2905982905982906,
269
+ "grad_norm": 36.04159750418885,
270
+ "learning_rate": 9.816072893667758e-07,
271
+ "logits/chosen": -2.6322970390319824,
272
+ "logits/rejected": -2.6053385734558105,
273
+ "logps/chosen": -174.82640075683594,
274
+ "logps/rejected": -186.0735626220703,
275
+ "loss": 0.5579,
276
+ "rewards/accuracies": 0.7562500238418579,
277
+ "rewards/chosen": -1.0639268159866333,
278
+ "rewards/margins": 1.0258175134658813,
279
+ "rewards/rejected": -2.0897443294525146,
280
+ "step": 85
281
+ },
282
+ {
283
+ "epoch": 0.3076923076923077,
284
+ "grad_norm": 26.922939193632168,
285
+ "learning_rate": 9.790909848738904e-07,
286
+ "logits/chosen": -2.60801362991333,
287
+ "logits/rejected": -2.6101624965667725,
288
+ "logps/chosen": -176.20538330078125,
289
+ "logps/rejected": -184.7812957763672,
290
+ "loss": 0.5215,
291
+ "rewards/accuracies": 0.6312500238418579,
292
+ "rewards/chosen": -0.9929834604263306,
293
+ "rewards/margins": 0.8646324276924133,
294
+ "rewards/rejected": -1.8576160669326782,
295
+ "step": 90
296
+ },
297
+ {
298
+ "epoch": 0.3247863247863248,
299
+ "grad_norm": 30.3564450245371,
300
+ "learning_rate": 9.764170608388647e-07,
301
+ "logits/chosen": -2.6054036617279053,
302
+ "logits/rejected": -2.5733799934387207,
303
+ "logps/chosen": -168.037109375,
304
+ "logps/rejected": -174.51144409179688,
305
+ "loss": 0.5197,
306
+ "rewards/accuracies": 0.762499988079071,
307
+ "rewards/chosen": -0.6652337312698364,
308
+ "rewards/margins": 1.060430884361267,
309
+ "rewards/rejected": -1.725664734840393,
310
+ "step": 95
311
+ },
312
+ {
313
+ "epoch": 0.3418803418803419,
314
+ "grad_norm": 28.936164680674203,
315
+ "learning_rate": 9.735863969749371e-07,
316
+ "logits/chosen": -2.5255179405212402,
317
+ "logits/rejected": -2.4874520301818848,
318
+ "logps/chosen": -177.73861694335938,
319
+ "logps/rejected": -189.82369995117188,
320
+ "loss": 0.4982,
321
+ "rewards/accuracies": 0.706250011920929,
322
+ "rewards/chosen": -0.8511013984680176,
323
+ "rewards/margins": 1.1354777812957764,
324
+ "rewards/rejected": -1.986579179763794,
325
+ "step": 100
326
+ },
327
+ {
328
+ "epoch": 0.3418803418803419,
329
+ "eval_logits/chosen": -2.484687328338623,
330
+ "eval_logits/rejected": -2.460559368133545,
331
+ "eval_logps/chosen": -168.28323364257812,
332
+ "eval_logps/rejected": -180.8539276123047,
333
+ "eval_loss": 0.5161151885986328,
334
+ "eval_rewards/accuracies": 0.7211538553237915,
335
+ "eval_rewards/chosen": -0.9805887937545776,
336
+ "eval_rewards/margins": 1.2167747020721436,
337
+ "eval_rewards/rejected": -2.1973636150360107,
338
+ "eval_runtime": 510.3447,
339
+ "eval_samples_per_second": 16.291,
340
+ "eval_steps_per_second": 0.255,
341
+ "step": 100
342
+ }
343
+ ],
344
+ "logging_steps": 5,
345
+ "max_steps": 876,
346
+ "num_input_tokens_seen": 0,
347
+ "num_train_epochs": 3,
348
+ "save_steps": 100,
349
+ "stateful_callbacks": {
350
+ "TrainerControl": {
351
+ "args": {
352
+ "should_epoch_stop": false,
353
+ "should_evaluate": false,
354
+ "should_log": false,
355
+ "should_save": true,
356
+ "should_training_stop": false
357
+ },
358
+ "attributes": {}
359
+ }
360
+ },
361
+ "total_flos": 1178822762299392.0,
362
+ "train_batch_size": 8,
363
+ "trial_name": null,
364
+ "trial_params": null
365
+ }
checkpoint-100/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:82da4d1d6d59805e00ef2db173d4cb9ade65e4282b4e4e61c54f617596094735
3
+ size 7096
checkpoint-200/added_tokens.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "<image>": 32000,
3
+ "<pad>": 32001
4
+ }
checkpoint-200/config.json ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/data/align-anything/hantao/models/llava-v1.6-mistral-7b-hf",
3
+ "architectures": [
4
+ "LlavaNextForConditionalGeneration"
5
+ ],
6
+ "hidden_size": 4096,
7
+ "ignore_index": -100,
8
+ "image_grid_pinpoints": [
9
+ [
10
+ 336,
11
+ 672
12
+ ],
13
+ [
14
+ 672,
15
+ 336
16
+ ],
17
+ [
18
+ 672,
19
+ 672
20
+ ],
21
+ [
22
+ 1008,
23
+ 336
24
+ ],
25
+ [
26
+ 336,
27
+ 1008
28
+ ]
29
+ ],
30
+ "image_seq_length": 576,
31
+ "image_token_index": 32000,
32
+ "model_type": "llava_next",
33
+ "projector_hidden_act": "gelu",
34
+ "text_config": {
35
+ "_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
36
+ "architectures": [
37
+ "MistralForCausalLM"
38
+ ],
39
+ "intermediate_size": 14336,
40
+ "max_position_embeddings": 32768,
41
+ "model_type": "mistral",
42
+ "num_key_value_heads": 8,
43
+ "rms_norm_eps": 1e-05,
44
+ "rope_theta": 1000000.0,
45
+ "sliding_window": null,
46
+ "torch_dtype": "bfloat16",
47
+ "vocab_size": 32064
48
+ },
49
+ "tie_word_embeddings": false,
50
+ "torch_dtype": "bfloat16",
51
+ "transformers_version": "4.45.2",
52
+ "use_cache": false,
53
+ "use_image_newline_parameter": true,
54
+ "vision_config": {
55
+ "hidden_size": 1024,
56
+ "image_size": 336,
57
+ "intermediate_size": 4096,
58
+ "model_type": "clip_vision_model",
59
+ "num_attention_heads": 16,
60
+ "num_hidden_layers": 24,
61
+ "patch_size": 14,
62
+ "projection_dim": 768,
63
+ "vocab_size": 32000
64
+ },
65
+ "vision_feature_layer": -2,
66
+ "vision_feature_select_strategy": "default",
67
+ "vocab_size": 32064
68
+ }
checkpoint-200/generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": 2,
5
+ "transformers_version": "4.45.2"
6
+ }
checkpoint-200/model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b85bdeae152eb4cca8cac02b6706b33af0655a0b635c892e22a8bd6a44b023d9
3
+ size 4921618624
checkpoint-200/model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:53f58de914594144d3bd2c90d1cb41d994e266dba0de627bb482b74789557892
3
+ size 4915917672
checkpoint-200/model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6b49609e124188db18d63e9b61616c53239c6b83f6a64624c63cda8d58229d02
3
+ size 4915917680
checkpoint-200/model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7c2c4f63fcc6e551b99e67fd53326309feb2c619ca4b3617ade0bab0fb8ee0d9
3
+ size 380134008
checkpoint-200/model.safetensors.index.json ADDED
@@ -0,0 +1,694 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 15133495296
4
+ },
5
+ "weight_map": {
6
+ "image_newline": "model-00001-of-00004.safetensors",
7
+ "language_model.lm_head.weight": "model-00004-of-00004.safetensors",
8
+ "language_model.model.embed_tokens.weight": "model-00001-of-00004.safetensors",
9
+ "language_model.model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
10
+ "language_model.model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
11
+ "language_model.model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
12
+ "language_model.model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
13
+ "language_model.model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
14
+ "language_model.model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
15
+ "language_model.model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
16
+ "language_model.model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
17
+ "language_model.model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
18
+ "language_model.model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
19
+ "language_model.model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
20
+ "language_model.model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
21
+ "language_model.model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
22
+ "language_model.model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
23
+ "language_model.model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
24
+ "language_model.model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
25
+ "language_model.model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
26
+ "language_model.model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
27
+ "language_model.model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
28
+ "language_model.model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
29
+ "language_model.model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
30
+ "language_model.model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
31
+ "language_model.model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
32
+ "language_model.model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
33
+ "language_model.model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
34
+ "language_model.model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
35
+ "language_model.model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
36
+ "language_model.model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
37
+ "language_model.model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
38
+ "language_model.model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
39
+ "language_model.model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
40
+ "language_model.model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
41
+ "language_model.model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
42
+ "language_model.model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
43
+ "language_model.model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
44
+ "language_model.model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
45
+ "language_model.model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
46
+ "language_model.model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
47
+ "language_model.model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
48
+ "language_model.model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
49
+ "language_model.model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
50
+ "language_model.model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
51
+ "language_model.model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
52
+ "language_model.model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
53
+ "language_model.model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
54
+ "language_model.model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
55
+ "language_model.model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
56
+ "language_model.model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
57
+ "language_model.model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
58
+ "language_model.model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
59
+ "language_model.model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
60
+ "language_model.model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
61
+ "language_model.model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
62
+ "language_model.model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
63
+ "language_model.model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
64
+ "language_model.model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
65
+ "language_model.model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
66
+ "language_model.model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
67
+ "language_model.model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
68
+ "language_model.model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
69
+ "language_model.model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
70
+ "language_model.model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
71
+ "language_model.model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
72
+ "language_model.model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
73
+ "language_model.model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
74
+ "language_model.model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
75
+ "language_model.model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
76
+ "language_model.model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
77
+ "language_model.model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
78
+ "language_model.model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
79
+ "language_model.model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
80
+ "language_model.model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
81
+ "language_model.model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
82
+ "language_model.model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
83
+ "language_model.model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
84
+ "language_model.model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
85
+ "language_model.model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
86
+ "language_model.model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
87
+ "language_model.model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
88
+ "language_model.model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
89
+ "language_model.model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
90
+ "language_model.model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
91
+ "language_model.model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
92
+ "language_model.model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
93
+ "language_model.model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
94
+ "language_model.model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
95
+ "language_model.model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
96
+ "language_model.model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
97
+ "language_model.model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
98
+ "language_model.model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
99
+ "language_model.model.layers.18.input_layernorm.weight": "model-00002-of-00004.safetensors",
100
+ "language_model.model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
101
+ "language_model.model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
102
+ "language_model.model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
103
+ "language_model.model.layers.18.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
104
+ "language_model.model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
105
+ "language_model.model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
106
+ "language_model.model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
107
+ "language_model.model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
108
+ "language_model.model.layers.19.input_layernorm.weight": "model-00002-of-00004.safetensors",
109
+ "language_model.model.layers.19.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
110
+ "language_model.model.layers.19.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
111
+ "language_model.model.layers.19.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
112
+ "language_model.model.layers.19.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
113
+ "language_model.model.layers.19.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
114
+ "language_model.model.layers.19.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
115
+ "language_model.model.layers.19.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
116
+ "language_model.model.layers.19.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
117
+ "language_model.model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
118
+ "language_model.model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
119
+ "language_model.model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
120
+ "language_model.model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
121
+ "language_model.model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
122
+ "language_model.model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
123
+ "language_model.model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
124
+ "language_model.model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
125
+ "language_model.model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
126
+ "language_model.model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
127
+ "language_model.model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
128
+ "language_model.model.layers.20.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
129
+ "language_model.model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
130
+ "language_model.model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
131
+ "language_model.model.layers.20.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
132
+ "language_model.model.layers.20.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
133
+ "language_model.model.layers.20.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
134
+ "language_model.model.layers.20.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
135
+ "language_model.model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
136
+ "language_model.model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
137
+ "language_model.model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
138
+ "language_model.model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
139
+ "language_model.model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
140
+ "language_model.model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
141
+ "language_model.model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
142
+ "language_model.model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
143
+ "language_model.model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
144
+ "language_model.model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
145
+ "language_model.model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
146
+ "language_model.model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
147
+ "language_model.model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
148
+ "language_model.model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
149
+ "language_model.model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
150
+ "language_model.model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
151
+ "language_model.model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
152
+ "language_model.model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
153
+ "language_model.model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
154
+ "language_model.model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
155
+ "language_model.model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
156
+ "language_model.model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
157
+ "language_model.model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
158
+ "language_model.model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
159
+ "language_model.model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
160
+ "language_model.model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
161
+ "language_model.model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
162
+ "language_model.model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
163
+ "language_model.model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
164
+ "language_model.model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
165
+ "language_model.model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
166
+ "language_model.model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
167
+ "language_model.model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
168
+ "language_model.model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
169
+ "language_model.model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
170
+ "language_model.model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
171
+ "language_model.model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
172
+ "language_model.model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
173
+ "language_model.model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
174
+ "language_model.model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
175
+ "language_model.model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
176
+ "language_model.model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
177
+ "language_model.model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
178
+ "language_model.model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
179
+ "language_model.model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
180
+ "language_model.model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
181
+ "language_model.model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
182
+ "language_model.model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
183
+ "language_model.model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
184
+ "language_model.model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
185
+ "language_model.model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
186
+ "language_model.model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
187
+ "language_model.model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
188
+ "language_model.model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
189
+ "language_model.model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
190
+ "language_model.model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
191
+ "language_model.model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
192
+ "language_model.model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
193
+ "language_model.model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
194
+ "language_model.model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
195
+ "language_model.model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
196
+ "language_model.model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
197
+ "language_model.model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
198
+ "language_model.model.layers.28.input_layernorm.weight": "model-00003-of-00004.safetensors",
199
+ "language_model.model.layers.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
200
+ "language_model.model.layers.28.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
201
+ "language_model.model.layers.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
202
+ "language_model.model.layers.28.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
203
+ "language_model.model.layers.28.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
204
+ "language_model.model.layers.28.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
205
+ "language_model.model.layers.28.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
206
+ "language_model.model.layers.28.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
207
+ "language_model.model.layers.29.input_layernorm.weight": "model-00003-of-00004.safetensors",
208
+ "language_model.model.layers.29.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
209
+ "language_model.model.layers.29.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
210
+ "language_model.model.layers.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
211
+ "language_model.model.layers.29.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
212
+ "language_model.model.layers.29.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
213
+ "language_model.model.layers.29.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
214
+ "language_model.model.layers.29.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
215
+ "language_model.model.layers.29.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
216
+ "language_model.model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
217
+ "language_model.model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
218
+ "language_model.model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
219
+ "language_model.model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
220
+ "language_model.model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
221
+ "language_model.model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
222
+ "language_model.model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
223
+ "language_model.model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
224
+ "language_model.model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
225
+ "language_model.model.layers.30.input_layernorm.weight": "model-00003-of-00004.safetensors",
226
+ "language_model.model.layers.30.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
227
+ "language_model.model.layers.30.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
228
+ "language_model.model.layers.30.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
229
+ "language_model.model.layers.30.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
230
+ "language_model.model.layers.30.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
231
+ "language_model.model.layers.30.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
232
+ "language_model.model.layers.30.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
233
+ "language_model.model.layers.30.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
234
+ "language_model.model.layers.31.input_layernorm.weight": "model-00004-of-00004.safetensors",
235
+ "language_model.model.layers.31.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
236
+ "language_model.model.layers.31.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
237
+ "language_model.model.layers.31.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
238
+ "language_model.model.layers.31.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
239
+ "language_model.model.layers.31.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
240
+ "language_model.model.layers.31.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
241
+ "language_model.model.layers.31.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
242
+ "language_model.model.layers.31.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
243
+ "language_model.model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
244
+ "language_model.model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
245
+ "language_model.model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
246
+ "language_model.model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
247
+ "language_model.model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
248
+ "language_model.model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
249
+ "language_model.model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
250
+ "language_model.model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
251
+ "language_model.model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
252
+ "language_model.model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
253
+ "language_model.model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
254
+ "language_model.model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
255
+ "language_model.model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
256
+ "language_model.model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
257
+ "language_model.model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
258
+ "language_model.model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
259
+ "language_model.model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
260
+ "language_model.model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
261
+ "language_model.model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
262
+ "language_model.model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
263
+ "language_model.model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
264
+ "language_model.model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
265
+ "language_model.model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
266
+ "language_model.model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
267
+ "language_model.model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
268
+ "language_model.model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
269
+ "language_model.model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
270
+ "language_model.model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
271
+ "language_model.model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
272
+ "language_model.model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
273
+ "language_model.model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
274
+ "language_model.model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
275
+ "language_model.model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
276
+ "language_model.model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
277
+ "language_model.model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
278
+ "language_model.model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
279
+ "language_model.model.layers.8.input_layernorm.weight": "model-00001-of-00004.safetensors",
280
+ "language_model.model.layers.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
281
+ "language_model.model.layers.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
282
+ "language_model.model.layers.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
283
+ "language_model.model.layers.8.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
284
+ "language_model.model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
285
+ "language_model.model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
286
+ "language_model.model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
287
+ "language_model.model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
288
+ "language_model.model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
289
+ "language_model.model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
290
+ "language_model.model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
291
+ "language_model.model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
292
+ "language_model.model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
293
+ "language_model.model.layers.9.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
294
+ "language_model.model.layers.9.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
295
+ "language_model.model.layers.9.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
296
+ "language_model.model.layers.9.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
297
+ "language_model.model.norm.weight": "model-00004-of-00004.safetensors",
298
+ "multi_modal_projector.linear_1.bias": "model-00001-of-00004.safetensors",
299
+ "multi_modal_projector.linear_1.weight": "model-00001-of-00004.safetensors",
300
+ "multi_modal_projector.linear_2.bias": "model-00001-of-00004.safetensors",
301
+ "multi_modal_projector.linear_2.weight": "model-00001-of-00004.safetensors",
302
+ "vision_tower.vision_model.embeddings.class_embedding": "model-00001-of-00004.safetensors",
303
+ "vision_tower.vision_model.embeddings.patch_embedding.weight": "model-00001-of-00004.safetensors",
304
+ "vision_tower.vision_model.embeddings.position_embedding.weight": "model-00001-of-00004.safetensors",
305
+ "vision_tower.vision_model.encoder.layers.0.layer_norm1.bias": "model-00001-of-00004.safetensors",
306
+ "vision_tower.vision_model.encoder.layers.0.layer_norm1.weight": "model-00001-of-00004.safetensors",
307
+ "vision_tower.vision_model.encoder.layers.0.layer_norm2.bias": "model-00001-of-00004.safetensors",
308
+ "vision_tower.vision_model.encoder.layers.0.layer_norm2.weight": "model-00001-of-00004.safetensors",
309
+ "vision_tower.vision_model.encoder.layers.0.mlp.fc1.bias": "model-00001-of-00004.safetensors",
310
+ "vision_tower.vision_model.encoder.layers.0.mlp.fc1.weight": "model-00001-of-00004.safetensors",
311
+ "vision_tower.vision_model.encoder.layers.0.mlp.fc2.bias": "model-00001-of-00004.safetensors",
312
+ "vision_tower.vision_model.encoder.layers.0.mlp.fc2.weight": "model-00001-of-00004.safetensors",
313
+ "vision_tower.vision_model.encoder.layers.0.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
314
+ "vision_tower.vision_model.encoder.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
315
+ "vision_tower.vision_model.encoder.layers.0.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
316
+ "vision_tower.vision_model.encoder.layers.0.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
317
+ "vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
318
+ "vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
319
+ "vision_tower.vision_model.encoder.layers.0.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
320
+ "vision_tower.vision_model.encoder.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
321
+ "vision_tower.vision_model.encoder.layers.1.layer_norm1.bias": "model-00001-of-00004.safetensors",
322
+ "vision_tower.vision_model.encoder.layers.1.layer_norm1.weight": "model-00001-of-00004.safetensors",
323
+ "vision_tower.vision_model.encoder.layers.1.layer_norm2.bias": "model-00001-of-00004.safetensors",
324
+ "vision_tower.vision_model.encoder.layers.1.layer_norm2.weight": "model-00001-of-00004.safetensors",
325
+ "vision_tower.vision_model.encoder.layers.1.mlp.fc1.bias": "model-00001-of-00004.safetensors",
326
+ "vision_tower.vision_model.encoder.layers.1.mlp.fc1.weight": "model-00001-of-00004.safetensors",
327
+ "vision_tower.vision_model.encoder.layers.1.mlp.fc2.bias": "model-00001-of-00004.safetensors",
328
+ "vision_tower.vision_model.encoder.layers.1.mlp.fc2.weight": "model-00001-of-00004.safetensors",
329
+ "vision_tower.vision_model.encoder.layers.1.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
330
+ "vision_tower.vision_model.encoder.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
331
+ "vision_tower.vision_model.encoder.layers.1.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
332
+ "vision_tower.vision_model.encoder.layers.1.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
333
+ "vision_tower.vision_model.encoder.layers.1.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
334
+ "vision_tower.vision_model.encoder.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
335
+ "vision_tower.vision_model.encoder.layers.1.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
336
+ "vision_tower.vision_model.encoder.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
337
+ "vision_tower.vision_model.encoder.layers.10.layer_norm1.bias": "model-00001-of-00004.safetensors",
338
+ "vision_tower.vision_model.encoder.layers.10.layer_norm1.weight": "model-00001-of-00004.safetensors",
339
+ "vision_tower.vision_model.encoder.layers.10.layer_norm2.bias": "model-00001-of-00004.safetensors",
340
+ "vision_tower.vision_model.encoder.layers.10.layer_norm2.weight": "model-00001-of-00004.safetensors",
341
+ "vision_tower.vision_model.encoder.layers.10.mlp.fc1.bias": "model-00001-of-00004.safetensors",
342
+ "vision_tower.vision_model.encoder.layers.10.mlp.fc1.weight": "model-00001-of-00004.safetensors",
343
+ "vision_tower.vision_model.encoder.layers.10.mlp.fc2.bias": "model-00001-of-00004.safetensors",
344
+ "vision_tower.vision_model.encoder.layers.10.mlp.fc2.weight": "model-00001-of-00004.safetensors",
345
+ "vision_tower.vision_model.encoder.layers.10.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
346
+ "vision_tower.vision_model.encoder.layers.10.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
347
+ "vision_tower.vision_model.encoder.layers.10.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
348
+ "vision_tower.vision_model.encoder.layers.10.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
349
+ "vision_tower.vision_model.encoder.layers.10.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
350
+ "vision_tower.vision_model.encoder.layers.10.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
351
+ "vision_tower.vision_model.encoder.layers.10.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
352
+ "vision_tower.vision_model.encoder.layers.10.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
353
+ "vision_tower.vision_model.encoder.layers.11.layer_norm1.bias": "model-00001-of-00004.safetensors",
354
+ "vision_tower.vision_model.encoder.layers.11.layer_norm1.weight": "model-00001-of-00004.safetensors",
355
+ "vision_tower.vision_model.encoder.layers.11.layer_norm2.bias": "model-00001-of-00004.safetensors",
356
+ "vision_tower.vision_model.encoder.layers.11.layer_norm2.weight": "model-00001-of-00004.safetensors",
357
+ "vision_tower.vision_model.encoder.layers.11.mlp.fc1.bias": "model-00001-of-00004.safetensors",
358
+ "vision_tower.vision_model.encoder.layers.11.mlp.fc1.weight": "model-00001-of-00004.safetensors",
359
+ "vision_tower.vision_model.encoder.layers.11.mlp.fc2.bias": "model-00001-of-00004.safetensors",
360
+ "vision_tower.vision_model.encoder.layers.11.mlp.fc2.weight": "model-00001-of-00004.safetensors",
361
+ "vision_tower.vision_model.encoder.layers.11.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
362
+ "vision_tower.vision_model.encoder.layers.11.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
363
+ "vision_tower.vision_model.encoder.layers.11.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
364
+ "vision_tower.vision_model.encoder.layers.11.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
365
+ "vision_tower.vision_model.encoder.layers.11.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
366
+ "vision_tower.vision_model.encoder.layers.11.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
367
+ "vision_tower.vision_model.encoder.layers.11.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
368
+ "vision_tower.vision_model.encoder.layers.11.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
369
+ "vision_tower.vision_model.encoder.layers.12.layer_norm1.bias": "model-00001-of-00004.safetensors",
370
+ "vision_tower.vision_model.encoder.layers.12.layer_norm1.weight": "model-00001-of-00004.safetensors",
371
+ "vision_tower.vision_model.encoder.layers.12.layer_norm2.bias": "model-00001-of-00004.safetensors",
372
+ "vision_tower.vision_model.encoder.layers.12.layer_norm2.weight": "model-00001-of-00004.safetensors",
373
+ "vision_tower.vision_model.encoder.layers.12.mlp.fc1.bias": "model-00001-of-00004.safetensors",
374
+ "vision_tower.vision_model.encoder.layers.12.mlp.fc1.weight": "model-00001-of-00004.safetensors",
375
+ "vision_tower.vision_model.encoder.layers.12.mlp.fc2.bias": "model-00001-of-00004.safetensors",
376
+ "vision_tower.vision_model.encoder.layers.12.mlp.fc2.weight": "model-00001-of-00004.safetensors",
377
+ "vision_tower.vision_model.encoder.layers.12.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
378
+ "vision_tower.vision_model.encoder.layers.12.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
379
+ "vision_tower.vision_model.encoder.layers.12.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
380
+ "vision_tower.vision_model.encoder.layers.12.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
381
+ "vision_tower.vision_model.encoder.layers.12.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
382
+ "vision_tower.vision_model.encoder.layers.12.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
383
+ "vision_tower.vision_model.encoder.layers.12.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
384
+ "vision_tower.vision_model.encoder.layers.12.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
385
+ "vision_tower.vision_model.encoder.layers.13.layer_norm1.bias": "model-00001-of-00004.safetensors",
386
+ "vision_tower.vision_model.encoder.layers.13.layer_norm1.weight": "model-00001-of-00004.safetensors",
387
+ "vision_tower.vision_model.encoder.layers.13.layer_norm2.bias": "model-00001-of-00004.safetensors",
388
+ "vision_tower.vision_model.encoder.layers.13.layer_norm2.weight": "model-00001-of-00004.safetensors",
389
+ "vision_tower.vision_model.encoder.layers.13.mlp.fc1.bias": "model-00001-of-00004.safetensors",
390
+ "vision_tower.vision_model.encoder.layers.13.mlp.fc1.weight": "model-00001-of-00004.safetensors",
391
+ "vision_tower.vision_model.encoder.layers.13.mlp.fc2.bias": "model-00001-of-00004.safetensors",
392
+ "vision_tower.vision_model.encoder.layers.13.mlp.fc2.weight": "model-00001-of-00004.safetensors",
393
+ "vision_tower.vision_model.encoder.layers.13.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
394
+ "vision_tower.vision_model.encoder.layers.13.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
395
+ "vision_tower.vision_model.encoder.layers.13.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
396
+ "vision_tower.vision_model.encoder.layers.13.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
397
+ "vision_tower.vision_model.encoder.layers.13.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
398
+ "vision_tower.vision_model.encoder.layers.13.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
399
+ "vision_tower.vision_model.encoder.layers.13.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
400
+ "vision_tower.vision_model.encoder.layers.13.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
401
+ "vision_tower.vision_model.encoder.layers.14.layer_norm1.bias": "model-00001-of-00004.safetensors",
402
+ "vision_tower.vision_model.encoder.layers.14.layer_norm1.weight": "model-00001-of-00004.safetensors",
403
+ "vision_tower.vision_model.encoder.layers.14.layer_norm2.bias": "model-00001-of-00004.safetensors",
404
+ "vision_tower.vision_model.encoder.layers.14.layer_norm2.weight": "model-00001-of-00004.safetensors",
405
+ "vision_tower.vision_model.encoder.layers.14.mlp.fc1.bias": "model-00001-of-00004.safetensors",
406
+ "vision_tower.vision_model.encoder.layers.14.mlp.fc1.weight": "model-00001-of-00004.safetensors",
407
+ "vision_tower.vision_model.encoder.layers.14.mlp.fc2.bias": "model-00001-of-00004.safetensors",
408
+ "vision_tower.vision_model.encoder.layers.14.mlp.fc2.weight": "model-00001-of-00004.safetensors",
409
+ "vision_tower.vision_model.encoder.layers.14.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
410
+ "vision_tower.vision_model.encoder.layers.14.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
411
+ "vision_tower.vision_model.encoder.layers.14.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
412
+ "vision_tower.vision_model.encoder.layers.14.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
413
+ "vision_tower.vision_model.encoder.layers.14.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
414
+ "vision_tower.vision_model.encoder.layers.14.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
415
+ "vision_tower.vision_model.encoder.layers.14.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
416
+ "vision_tower.vision_model.encoder.layers.14.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
417
+ "vision_tower.vision_model.encoder.layers.15.layer_norm1.bias": "model-00001-of-00004.safetensors",
418
+ "vision_tower.vision_model.encoder.layers.15.layer_norm1.weight": "model-00001-of-00004.safetensors",
419
+ "vision_tower.vision_model.encoder.layers.15.layer_norm2.bias": "model-00001-of-00004.safetensors",
420
+ "vision_tower.vision_model.encoder.layers.15.layer_norm2.weight": "model-00001-of-00004.safetensors",
421
+ "vision_tower.vision_model.encoder.layers.15.mlp.fc1.bias": "model-00001-of-00004.safetensors",
422
+ "vision_tower.vision_model.encoder.layers.15.mlp.fc1.weight": "model-00001-of-00004.safetensors",
423
+ "vision_tower.vision_model.encoder.layers.15.mlp.fc2.bias": "model-00001-of-00004.safetensors",
424
+ "vision_tower.vision_model.encoder.layers.15.mlp.fc2.weight": "model-00001-of-00004.safetensors",
425
+ "vision_tower.vision_model.encoder.layers.15.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
426
+ "vision_tower.vision_model.encoder.layers.15.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
427
+ "vision_tower.vision_model.encoder.layers.15.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
428
+ "vision_tower.vision_model.encoder.layers.15.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
429
+ "vision_tower.vision_model.encoder.layers.15.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
430
+ "vision_tower.vision_model.encoder.layers.15.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
431
+ "vision_tower.vision_model.encoder.layers.15.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
432
+ "vision_tower.vision_model.encoder.layers.15.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
433
+ "vision_tower.vision_model.encoder.layers.16.layer_norm1.bias": "model-00001-of-00004.safetensors",
434
+ "vision_tower.vision_model.encoder.layers.16.layer_norm1.weight": "model-00001-of-00004.safetensors",
435
+ "vision_tower.vision_model.encoder.layers.16.layer_norm2.bias": "model-00001-of-00004.safetensors",
436
+ "vision_tower.vision_model.encoder.layers.16.layer_norm2.weight": "model-00001-of-00004.safetensors",
437
+ "vision_tower.vision_model.encoder.layers.16.mlp.fc1.bias": "model-00001-of-00004.safetensors",
438
+ "vision_tower.vision_model.encoder.layers.16.mlp.fc1.weight": "model-00001-of-00004.safetensors",
439
+ "vision_tower.vision_model.encoder.layers.16.mlp.fc2.bias": "model-00001-of-00004.safetensors",
440
+ "vision_tower.vision_model.encoder.layers.16.mlp.fc2.weight": "model-00001-of-00004.safetensors",
441
+ "vision_tower.vision_model.encoder.layers.16.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
442
+ "vision_tower.vision_model.encoder.layers.16.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
443
+ "vision_tower.vision_model.encoder.layers.16.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
444
+ "vision_tower.vision_model.encoder.layers.16.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
445
+ "vision_tower.vision_model.encoder.layers.16.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
446
+ "vision_tower.vision_model.encoder.layers.16.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
447
+ "vision_tower.vision_model.encoder.layers.16.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
448
+ "vision_tower.vision_model.encoder.layers.16.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
449
+ "vision_tower.vision_model.encoder.layers.17.layer_norm1.bias": "model-00001-of-00004.safetensors",
450
+ "vision_tower.vision_model.encoder.layers.17.layer_norm1.weight": "model-00001-of-00004.safetensors",
451
+ "vision_tower.vision_model.encoder.layers.17.layer_norm2.bias": "model-00001-of-00004.safetensors",
452
+ "vision_tower.vision_model.encoder.layers.17.layer_norm2.weight": "model-00001-of-00004.safetensors",
453
+ "vision_tower.vision_model.encoder.layers.17.mlp.fc1.bias": "model-00001-of-00004.safetensors",
454
+ "vision_tower.vision_model.encoder.layers.17.mlp.fc1.weight": "model-00001-of-00004.safetensors",
455
+ "vision_tower.vision_model.encoder.layers.17.mlp.fc2.bias": "model-00001-of-00004.safetensors",
456
+ "vision_tower.vision_model.encoder.layers.17.mlp.fc2.weight": "model-00001-of-00004.safetensors",
457
+ "vision_tower.vision_model.encoder.layers.17.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
458
+ "vision_tower.vision_model.encoder.layers.17.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
459
+ "vision_tower.vision_model.encoder.layers.17.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
460
+ "vision_tower.vision_model.encoder.layers.17.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
461
+ "vision_tower.vision_model.encoder.layers.17.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
462
+ "vision_tower.vision_model.encoder.layers.17.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
463
+ "vision_tower.vision_model.encoder.layers.17.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
464
+ "vision_tower.vision_model.encoder.layers.17.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
465
+ "vision_tower.vision_model.encoder.layers.18.layer_norm1.bias": "model-00001-of-00004.safetensors",
466
+ "vision_tower.vision_model.encoder.layers.18.layer_norm1.weight": "model-00001-of-00004.safetensors",
467
+ "vision_tower.vision_model.encoder.layers.18.layer_norm2.bias": "model-00001-of-00004.safetensors",
468
+ "vision_tower.vision_model.encoder.layers.18.layer_norm2.weight": "model-00001-of-00004.safetensors",
469
+ "vision_tower.vision_model.encoder.layers.18.mlp.fc1.bias": "model-00001-of-00004.safetensors",
470
+ "vision_tower.vision_model.encoder.layers.18.mlp.fc1.weight": "model-00001-of-00004.safetensors",
471
+ "vision_tower.vision_model.encoder.layers.18.mlp.fc2.bias": "model-00001-of-00004.safetensors",
472
+ "vision_tower.vision_model.encoder.layers.18.mlp.fc2.weight": "model-00001-of-00004.safetensors",
473
+ "vision_tower.vision_model.encoder.layers.18.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
474
+ "vision_tower.vision_model.encoder.layers.18.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
475
+ "vision_tower.vision_model.encoder.layers.18.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
476
+ "vision_tower.vision_model.encoder.layers.18.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
477
+ "vision_tower.vision_model.encoder.layers.18.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
478
+ "vision_tower.vision_model.encoder.layers.18.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
479
+ "vision_tower.vision_model.encoder.layers.18.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
480
+ "vision_tower.vision_model.encoder.layers.18.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
481
+ "vision_tower.vision_model.encoder.layers.19.layer_norm1.bias": "model-00001-of-00004.safetensors",
482
+ "vision_tower.vision_model.encoder.layers.19.layer_norm1.weight": "model-00001-of-00004.safetensors",
483
+ "vision_tower.vision_model.encoder.layers.19.layer_norm2.bias": "model-00001-of-00004.safetensors",
484
+ "vision_tower.vision_model.encoder.layers.19.layer_norm2.weight": "model-00001-of-00004.safetensors",
485
+ "vision_tower.vision_model.encoder.layers.19.mlp.fc1.bias": "model-00001-of-00004.safetensors",
486
+ "vision_tower.vision_model.encoder.layers.19.mlp.fc1.weight": "model-00001-of-00004.safetensors",
487
+ "vision_tower.vision_model.encoder.layers.19.mlp.fc2.bias": "model-00001-of-00004.safetensors",
488
+ "vision_tower.vision_model.encoder.layers.19.mlp.fc2.weight": "model-00001-of-00004.safetensors",
489
+ "vision_tower.vision_model.encoder.layers.19.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
490
+ "vision_tower.vision_model.encoder.layers.19.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
491
+ "vision_tower.vision_model.encoder.layers.19.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
492
+ "vision_tower.vision_model.encoder.layers.19.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
493
+ "vision_tower.vision_model.encoder.layers.19.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
494
+ "vision_tower.vision_model.encoder.layers.19.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
495
+ "vision_tower.vision_model.encoder.layers.19.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
496
+ "vision_tower.vision_model.encoder.layers.19.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
497
+ "vision_tower.vision_model.encoder.layers.2.layer_norm1.bias": "model-00001-of-00004.safetensors",
498
+ "vision_tower.vision_model.encoder.layers.2.layer_norm1.weight": "model-00001-of-00004.safetensors",
499
+ "vision_tower.vision_model.encoder.layers.2.layer_norm2.bias": "model-00001-of-00004.safetensors",
500
+ "vision_tower.vision_model.encoder.layers.2.layer_norm2.weight": "model-00001-of-00004.safetensors",
501
+ "vision_tower.vision_model.encoder.layers.2.mlp.fc1.bias": "model-00001-of-00004.safetensors",
502
+ "vision_tower.vision_model.encoder.layers.2.mlp.fc1.weight": "model-00001-of-00004.safetensors",
503
+ "vision_tower.vision_model.encoder.layers.2.mlp.fc2.bias": "model-00001-of-00004.safetensors",
504
+ "vision_tower.vision_model.encoder.layers.2.mlp.fc2.weight": "model-00001-of-00004.safetensors",
505
+ "vision_tower.vision_model.encoder.layers.2.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
506
+ "vision_tower.vision_model.encoder.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
507
+ "vision_tower.vision_model.encoder.layers.2.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
508
+ "vision_tower.vision_model.encoder.layers.2.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
509
+ "vision_tower.vision_model.encoder.layers.2.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
510
+ "vision_tower.vision_model.encoder.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
511
+ "vision_tower.vision_model.encoder.layers.2.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
512
+ "vision_tower.vision_model.encoder.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
513
+ "vision_tower.vision_model.encoder.layers.20.layer_norm1.bias": "model-00001-of-00004.safetensors",
514
+ "vision_tower.vision_model.encoder.layers.20.layer_norm1.weight": "model-00001-of-00004.safetensors",
515
+ "vision_tower.vision_model.encoder.layers.20.layer_norm2.bias": "model-00001-of-00004.safetensors",
516
+ "vision_tower.vision_model.encoder.layers.20.layer_norm2.weight": "model-00001-of-00004.safetensors",
517
+ "vision_tower.vision_model.encoder.layers.20.mlp.fc1.bias": "model-00001-of-00004.safetensors",
518
+ "vision_tower.vision_model.encoder.layers.20.mlp.fc1.weight": "model-00001-of-00004.safetensors",
519
+ "vision_tower.vision_model.encoder.layers.20.mlp.fc2.bias": "model-00001-of-00004.safetensors",
520
+ "vision_tower.vision_model.encoder.layers.20.mlp.fc2.weight": "model-00001-of-00004.safetensors",
521
+ "vision_tower.vision_model.encoder.layers.20.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
522
+ "vision_tower.vision_model.encoder.layers.20.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
523
+ "vision_tower.vision_model.encoder.layers.20.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
524
+ "vision_tower.vision_model.encoder.layers.20.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
525
+ "vision_tower.vision_model.encoder.layers.20.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
526
+ "vision_tower.vision_model.encoder.layers.20.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
527
+ "vision_tower.vision_model.encoder.layers.20.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
528
+ "vision_tower.vision_model.encoder.layers.20.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
529
+ "vision_tower.vision_model.encoder.layers.21.layer_norm1.bias": "model-00001-of-00004.safetensors",
530
+ "vision_tower.vision_model.encoder.layers.21.layer_norm1.weight": "model-00001-of-00004.safetensors",
531
+ "vision_tower.vision_model.encoder.layers.21.layer_norm2.bias": "model-00001-of-00004.safetensors",
532
+ "vision_tower.vision_model.encoder.layers.21.layer_norm2.weight": "model-00001-of-00004.safetensors",
533
+ "vision_tower.vision_model.encoder.layers.21.mlp.fc1.bias": "model-00001-of-00004.safetensors",
534
+ "vision_tower.vision_model.encoder.layers.21.mlp.fc1.weight": "model-00001-of-00004.safetensors",
535
+ "vision_tower.vision_model.encoder.layers.21.mlp.fc2.bias": "model-00001-of-00004.safetensors",
536
+ "vision_tower.vision_model.encoder.layers.21.mlp.fc2.weight": "model-00001-of-00004.safetensors",
537
+ "vision_tower.vision_model.encoder.layers.21.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
538
+ "vision_tower.vision_model.encoder.layers.21.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
539
+ "vision_tower.vision_model.encoder.layers.21.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
540
+ "vision_tower.vision_model.encoder.layers.21.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
541
+ "vision_tower.vision_model.encoder.layers.21.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
542
+ "vision_tower.vision_model.encoder.layers.21.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
543
+ "vision_tower.vision_model.encoder.layers.21.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
544
+ "vision_tower.vision_model.encoder.layers.21.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
545
+ "vision_tower.vision_model.encoder.layers.22.layer_norm1.bias": "model-00001-of-00004.safetensors",
546
+ "vision_tower.vision_model.encoder.layers.22.layer_norm1.weight": "model-00001-of-00004.safetensors",
547
+ "vision_tower.vision_model.encoder.layers.22.layer_norm2.bias": "model-00001-of-00004.safetensors",
548
+ "vision_tower.vision_model.encoder.layers.22.layer_norm2.weight": "model-00001-of-00004.safetensors",
549
+ "vision_tower.vision_model.encoder.layers.22.mlp.fc1.bias": "model-00001-of-00004.safetensors",
550
+ "vision_tower.vision_model.encoder.layers.22.mlp.fc1.weight": "model-00001-of-00004.safetensors",
551
+ "vision_tower.vision_model.encoder.layers.22.mlp.fc2.bias": "model-00001-of-00004.safetensors",
552
+ "vision_tower.vision_model.encoder.layers.22.mlp.fc2.weight": "model-00001-of-00004.safetensors",
553
+ "vision_tower.vision_model.encoder.layers.22.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
554
+ "vision_tower.vision_model.encoder.layers.22.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
555
+ "vision_tower.vision_model.encoder.layers.22.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
556
+ "vision_tower.vision_model.encoder.layers.22.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
557
+ "vision_tower.vision_model.encoder.layers.22.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
558
+ "vision_tower.vision_model.encoder.layers.22.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
559
+ "vision_tower.vision_model.encoder.layers.22.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
560
+ "vision_tower.vision_model.encoder.layers.22.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
561
+ "vision_tower.vision_model.encoder.layers.23.layer_norm1.bias": "model-00001-of-00004.safetensors",
562
+ "vision_tower.vision_model.encoder.layers.23.layer_norm1.weight": "model-00001-of-00004.safetensors",
563
+ "vision_tower.vision_model.encoder.layers.23.layer_norm2.bias": "model-00001-of-00004.safetensors",
564
+ "vision_tower.vision_model.encoder.layers.23.layer_norm2.weight": "model-00001-of-00004.safetensors",
565
+ "vision_tower.vision_model.encoder.layers.23.mlp.fc1.bias": "model-00001-of-00004.safetensors",
566
+ "vision_tower.vision_model.encoder.layers.23.mlp.fc1.weight": "model-00001-of-00004.safetensors",
567
+ "vision_tower.vision_model.encoder.layers.23.mlp.fc2.bias": "model-00001-of-00004.safetensors",
568
+ "vision_tower.vision_model.encoder.layers.23.mlp.fc2.weight": "model-00001-of-00004.safetensors",
569
+ "vision_tower.vision_model.encoder.layers.23.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
570
+ "vision_tower.vision_model.encoder.layers.23.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
571
+ "vision_tower.vision_model.encoder.layers.23.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
572
+ "vision_tower.vision_model.encoder.layers.23.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
573
+ "vision_tower.vision_model.encoder.layers.23.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
574
+ "vision_tower.vision_model.encoder.layers.23.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
575
+ "vision_tower.vision_model.encoder.layers.23.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
576
+ "vision_tower.vision_model.encoder.layers.23.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
577
+ "vision_tower.vision_model.encoder.layers.3.layer_norm1.bias": "model-00001-of-00004.safetensors",
578
+ "vision_tower.vision_model.encoder.layers.3.layer_norm1.weight": "model-00001-of-00004.safetensors",
579
+ "vision_tower.vision_model.encoder.layers.3.layer_norm2.bias": "model-00001-of-00004.safetensors",
580
+ "vision_tower.vision_model.encoder.layers.3.layer_norm2.weight": "model-00001-of-00004.safetensors",
581
+ "vision_tower.vision_model.encoder.layers.3.mlp.fc1.bias": "model-00001-of-00004.safetensors",
582
+ "vision_tower.vision_model.encoder.layers.3.mlp.fc1.weight": "model-00001-of-00004.safetensors",
583
+ "vision_tower.vision_model.encoder.layers.3.mlp.fc2.bias": "model-00001-of-00004.safetensors",
584
+ "vision_tower.vision_model.encoder.layers.3.mlp.fc2.weight": "model-00001-of-00004.safetensors",
585
+ "vision_tower.vision_model.encoder.layers.3.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
586
+ "vision_tower.vision_model.encoder.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
587
+ "vision_tower.vision_model.encoder.layers.3.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
588
+ "vision_tower.vision_model.encoder.layers.3.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
589
+ "vision_tower.vision_model.encoder.layers.3.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
590
+ "vision_tower.vision_model.encoder.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
591
+ "vision_tower.vision_model.encoder.layers.3.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
592
+ "vision_tower.vision_model.encoder.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
593
+ "vision_tower.vision_model.encoder.layers.4.layer_norm1.bias": "model-00001-of-00004.safetensors",
594
+ "vision_tower.vision_model.encoder.layers.4.layer_norm1.weight": "model-00001-of-00004.safetensors",
595
+ "vision_tower.vision_model.encoder.layers.4.layer_norm2.bias": "model-00001-of-00004.safetensors",
596
+ "vision_tower.vision_model.encoder.layers.4.layer_norm2.weight": "model-00001-of-00004.safetensors",
597
+ "vision_tower.vision_model.encoder.layers.4.mlp.fc1.bias": "model-00001-of-00004.safetensors",
598
+ "vision_tower.vision_model.encoder.layers.4.mlp.fc1.weight": "model-00001-of-00004.safetensors",
599
+ "vision_tower.vision_model.encoder.layers.4.mlp.fc2.bias": "model-00001-of-00004.safetensors",
600
+ "vision_tower.vision_model.encoder.layers.4.mlp.fc2.weight": "model-00001-of-00004.safetensors",
601
+ "vision_tower.vision_model.encoder.layers.4.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
602
+ "vision_tower.vision_model.encoder.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
603
+ "vision_tower.vision_model.encoder.layers.4.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
604
+ "vision_tower.vision_model.encoder.layers.4.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
605
+ "vision_tower.vision_model.encoder.layers.4.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
606
+ "vision_tower.vision_model.encoder.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
607
+ "vision_tower.vision_model.encoder.layers.4.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
608
+ "vision_tower.vision_model.encoder.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
609
+ "vision_tower.vision_model.encoder.layers.5.layer_norm1.bias": "model-00001-of-00004.safetensors",
610
+ "vision_tower.vision_model.encoder.layers.5.layer_norm1.weight": "model-00001-of-00004.safetensors",
611
+ "vision_tower.vision_model.encoder.layers.5.layer_norm2.bias": "model-00001-of-00004.safetensors",
612
+ "vision_tower.vision_model.encoder.layers.5.layer_norm2.weight": "model-00001-of-00004.safetensors",
613
+ "vision_tower.vision_model.encoder.layers.5.mlp.fc1.bias": "model-00001-of-00004.safetensors",
614
+ "vision_tower.vision_model.encoder.layers.5.mlp.fc1.weight": "model-00001-of-00004.safetensors",
615
+ "vision_tower.vision_model.encoder.layers.5.mlp.fc2.bias": "model-00001-of-00004.safetensors",
616
+ "vision_tower.vision_model.encoder.layers.5.mlp.fc2.weight": "model-00001-of-00004.safetensors",
617
+ "vision_tower.vision_model.encoder.layers.5.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
618
+ "vision_tower.vision_model.encoder.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
619
+ "vision_tower.vision_model.encoder.layers.5.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
620
+ "vision_tower.vision_model.encoder.layers.5.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
621
+ "vision_tower.vision_model.encoder.layers.5.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
622
+ "vision_tower.vision_model.encoder.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
623
+ "vision_tower.vision_model.encoder.layers.5.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
624
+ "vision_tower.vision_model.encoder.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
625
+ "vision_tower.vision_model.encoder.layers.6.layer_norm1.bias": "model-00001-of-00004.safetensors",
626
+ "vision_tower.vision_model.encoder.layers.6.layer_norm1.weight": "model-00001-of-00004.safetensors",
627
+ "vision_tower.vision_model.encoder.layers.6.layer_norm2.bias": "model-00001-of-00004.safetensors",
628
+ "vision_tower.vision_model.encoder.layers.6.layer_norm2.weight": "model-00001-of-00004.safetensors",
629
+ "vision_tower.vision_model.encoder.layers.6.mlp.fc1.bias": "model-00001-of-00004.safetensors",
630
+ "vision_tower.vision_model.encoder.layers.6.mlp.fc1.weight": "model-00001-of-00004.safetensors",
631
+ "vision_tower.vision_model.encoder.layers.6.mlp.fc2.bias": "model-00001-of-00004.safetensors",
632
+ "vision_tower.vision_model.encoder.layers.6.mlp.fc2.weight": "model-00001-of-00004.safetensors",
633
+ "vision_tower.vision_model.encoder.layers.6.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
634
+ "vision_tower.vision_model.encoder.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
635
+ "vision_tower.vision_model.encoder.layers.6.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
636
+ "vision_tower.vision_model.encoder.layers.6.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
637
+ "vision_tower.vision_model.encoder.layers.6.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
638
+ "vision_tower.vision_model.encoder.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
639
+ "vision_tower.vision_model.encoder.layers.6.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
640
+ "vision_tower.vision_model.encoder.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
641
+ "vision_tower.vision_model.encoder.layers.7.layer_norm1.bias": "model-00001-of-00004.safetensors",
642
+ "vision_tower.vision_model.encoder.layers.7.layer_norm1.weight": "model-00001-of-00004.safetensors",
643
+ "vision_tower.vision_model.encoder.layers.7.layer_norm2.bias": "model-00001-of-00004.safetensors",
644
+ "vision_tower.vision_model.encoder.layers.7.layer_norm2.weight": "model-00001-of-00004.safetensors",
645
+ "vision_tower.vision_model.encoder.layers.7.mlp.fc1.bias": "model-00001-of-00004.safetensors",
646
+ "vision_tower.vision_model.encoder.layers.7.mlp.fc1.weight": "model-00001-of-00004.safetensors",
647
+ "vision_tower.vision_model.encoder.layers.7.mlp.fc2.bias": "model-00001-of-00004.safetensors",
648
+ "vision_tower.vision_model.encoder.layers.7.mlp.fc2.weight": "model-00001-of-00004.safetensors",
649
+ "vision_tower.vision_model.encoder.layers.7.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
650
+ "vision_tower.vision_model.encoder.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
651
+ "vision_tower.vision_model.encoder.layers.7.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
652
+ "vision_tower.vision_model.encoder.layers.7.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
653
+ "vision_tower.vision_model.encoder.layers.7.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
654
+ "vision_tower.vision_model.encoder.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
655
+ "vision_tower.vision_model.encoder.layers.7.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
656
+ "vision_tower.vision_model.encoder.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
657
+ "vision_tower.vision_model.encoder.layers.8.layer_norm1.bias": "model-00001-of-00004.safetensors",
658
+ "vision_tower.vision_model.encoder.layers.8.layer_norm1.weight": "model-00001-of-00004.safetensors",
659
+ "vision_tower.vision_model.encoder.layers.8.layer_norm2.bias": "model-00001-of-00004.safetensors",
660
+ "vision_tower.vision_model.encoder.layers.8.layer_norm2.weight": "model-00001-of-00004.safetensors",
661
+ "vision_tower.vision_model.encoder.layers.8.mlp.fc1.bias": "model-00001-of-00004.safetensors",
662
+ "vision_tower.vision_model.encoder.layers.8.mlp.fc1.weight": "model-00001-of-00004.safetensors",
663
+ "vision_tower.vision_model.encoder.layers.8.mlp.fc2.bias": "model-00001-of-00004.safetensors",
664
+ "vision_tower.vision_model.encoder.layers.8.mlp.fc2.weight": "model-00001-of-00004.safetensors",
665
+ "vision_tower.vision_model.encoder.layers.8.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
666
+ "vision_tower.vision_model.encoder.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
667
+ "vision_tower.vision_model.encoder.layers.8.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
668
+ "vision_tower.vision_model.encoder.layers.8.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
669
+ "vision_tower.vision_model.encoder.layers.8.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
670
+ "vision_tower.vision_model.encoder.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
671
+ "vision_tower.vision_model.encoder.layers.8.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
672
+ "vision_tower.vision_model.encoder.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
673
+ "vision_tower.vision_model.encoder.layers.9.layer_norm1.bias": "model-00001-of-00004.safetensors",
674
+ "vision_tower.vision_model.encoder.layers.9.layer_norm1.weight": "model-00001-of-00004.safetensors",
675
+ "vision_tower.vision_model.encoder.layers.9.layer_norm2.bias": "model-00001-of-00004.safetensors",
676
+ "vision_tower.vision_model.encoder.layers.9.layer_norm2.weight": "model-00001-of-00004.safetensors",
677
+ "vision_tower.vision_model.encoder.layers.9.mlp.fc1.bias": "model-00001-of-00004.safetensors",
678
+ "vision_tower.vision_model.encoder.layers.9.mlp.fc1.weight": "model-00001-of-00004.safetensors",
679
+ "vision_tower.vision_model.encoder.layers.9.mlp.fc2.bias": "model-00001-of-00004.safetensors",
680
+ "vision_tower.vision_model.encoder.layers.9.mlp.fc2.weight": "model-00001-of-00004.safetensors",
681
+ "vision_tower.vision_model.encoder.layers.9.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
682
+ "vision_tower.vision_model.encoder.layers.9.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
683
+ "vision_tower.vision_model.encoder.layers.9.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
684
+ "vision_tower.vision_model.encoder.layers.9.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
685
+ "vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
686
+ "vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
687
+ "vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
688
+ "vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
689
+ "vision_tower.vision_model.post_layernorm.bias": "model-00001-of-00004.safetensors",
690
+ "vision_tower.vision_model.post_layernorm.weight": "model-00001-of-00004.safetensors",
691
+ "vision_tower.vision_model.pre_layrnorm.bias": "model-00001-of-00004.safetensors",
692
+ "vision_tower.vision_model.pre_layrnorm.weight": "model-00001-of-00004.safetensors"
693
+ }
694
+ }
checkpoint-200/preprocessor_config.json ADDED
@@ -0,0 +1,52 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "aspect_ratio_setting": "anyres",
3
+ "crop_size": {
4
+ "height": 336,
5
+ "width": 336
6
+ },
7
+ "do_center_crop": true,
8
+ "do_convert_rgb": true,
9
+ "do_normalize": true,
10
+ "do_pad": true,
11
+ "do_rescale": true,
12
+ "do_resize": true,
13
+ "image_grid_pinpoints": [
14
+ [
15
+ 336,
16
+ 672
17
+ ],
18
+ [
19
+ 672,
20
+ 336
21
+ ],
22
+ [
23
+ 672,
24
+ 672
25
+ ],
26
+ [
27
+ 1008,
28
+ 336
29
+ ],
30
+ [
31
+ 336,
32
+ 1008
33
+ ]
34
+ ],
35
+ "image_mean": [
36
+ 0.48145466,
37
+ 0.4578275,
38
+ 0.40821073
39
+ ],
40
+ "image_processor_type": "LlavaNextImageProcessor",
41
+ "image_std": [
42
+ 0.26862954,
43
+ 0.26130258,
44
+ 0.27577711
45
+ ],
46
+ "processor_class": "LlavaNextProcessor",
47
+ "resample": 3,
48
+ "rescale_factor": 0.00392156862745098,
49
+ "size": {
50
+ "shortest_edge": 336
51
+ }
52
+ }
checkpoint-200/special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "<pad>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "<unk>",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
checkpoint-200/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-200/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
3
+ size 493443
checkpoint-200/tokenizer_config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": null,
5
+ "added_tokens_decoder": {
6
+ "0": {
7
+ "content": "<unk>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": true
13
+ },
14
+ "1": {
15
+ "content": "<s>",
16
+ "lstrip": false,
17
+ "normalized": false,
18
+ "rstrip": false,
19
+ "single_word": false,
20
+ "special": true
21
+ },
22
+ "2": {
23
+ "content": "</s>",
24
+ "lstrip": false,
25
+ "normalized": false,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": true
29
+ },
30
+ "32000": {
31
+ "content": "<image>",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false,
36
+ "special": true
37
+ },
38
+ "32001": {
39
+ "content": "<pad>",
40
+ "lstrip": false,
41
+ "normalized": false,
42
+ "rstrip": false,
43
+ "single_word": false,
44
+ "special": true
45
+ }
46
+ },
47
+ "additional_special_tokens": [],
48
+ "bos_token": "<s>",
49
+ "chat_template": "{{ '<s>' }}{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% endif %}{% if system_message is defined %}{{ system_message }}{% endif %}{% for message in loop_messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '`[INST] `' + content + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ content + '</s>' }}{% endif %}{% endfor %}",
50
+ "clean_up_tokenization_spaces": false,
51
+ "eos_token": "</s>",
52
+ "extra_special_tokens": {
53
+ "image_token": "<image>"
54
+ },
55
+ "image_token": "<image>",
56
+ "legacy": true,
57
+ "max_length": null,
58
+ "model_max_length": 1000000000000000019884624838656,
59
+ "pad_to_multiple_of": null,
60
+ "pad_token": "<pad>",
61
+ "pad_token_type_id": 0,
62
+ "padding_side": "right",
63
+ "processor_class": "LlavaNextProcessor",
64
+ "sp_model_kwargs": {},
65
+ "spaces_between_special_tokens": false,
66
+ "split_special_tokens": false,
67
+ "tokenizer_class": "LlamaTokenizer",
68
+ "unk_token": "<unk>",
69
+ "use_default_system_prompt": false
70
+ }
checkpoint-200/trainer_state.json ADDED
@@ -0,0 +1,697 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.6837606837606838,
5
+ "eval_steps": 50,
6
+ "global_step": 200,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.017094017094017096,
13
+ "grad_norm": 35.00202204303521,
14
+ "learning_rate": 5e-07,
15
+ "logits/chosen": -2.7455849647521973,
16
+ "logits/rejected": -2.7442612648010254,
17
+ "logps/chosen": -164.2725830078125,
18
+ "logps/rejected": -170.57113647460938,
19
+ "loss": 0.6934,
20
+ "rewards/accuracies": 0.23749999701976776,
21
+ "rewards/chosen": 0.0026612328365445137,
22
+ "rewards/margins": -0.001539617427624762,
23
+ "rewards/rejected": 0.004200850613415241,
24
+ "step": 5
25
+ },
26
+ {
27
+ "epoch": 0.03418803418803419,
28
+ "grad_norm": 36.29266486314593,
29
+ "learning_rate": 1e-06,
30
+ "logits/chosen": -2.709902763366699,
31
+ "logits/rejected": -2.7155404090881348,
32
+ "logps/chosen": -171.80032348632812,
33
+ "logps/rejected": -165.20169067382812,
34
+ "loss": 0.6879,
35
+ "rewards/accuracies": 0.5062500238418579,
36
+ "rewards/chosen": 0.012009668163955212,
37
+ "rewards/margins": 0.0021203968208283186,
38
+ "rewards/rejected": 0.009889272041618824,
39
+ "step": 10
40
+ },
41
+ {
42
+ "epoch": 0.05128205128205128,
43
+ "grad_norm": 33.83921269470837,
44
+ "learning_rate": 9.999177507263144e-07,
45
+ "logits/chosen": -2.6502068042755127,
46
+ "logits/rejected": -2.628007411956787,
47
+ "logps/chosen": -174.082275390625,
48
+ "logps/rejected": -174.13429260253906,
49
+ "loss": 0.6698,
50
+ "rewards/accuracies": 0.643750011920929,
51
+ "rewards/chosen": 0.23495244979858398,
52
+ "rewards/margins": 0.1125468835234642,
53
+ "rewards/rejected": 0.12240554392337799,
54
+ "step": 15
55
+ },
56
+ {
57
+ "epoch": 0.06837606837606838,
58
+ "grad_norm": 34.14427373918799,
59
+ "learning_rate": 9.996710299650301e-07,
60
+ "logits/chosen": -2.473665714263916,
61
+ "logits/rejected": -2.4469008445739746,
62
+ "logps/chosen": -158.2163848876953,
63
+ "logps/rejected": -158.0710906982422,
64
+ "loss": 0.661,
65
+ "rewards/accuracies": 0.581250011920929,
66
+ "rewards/chosen": 0.4233472943305969,
67
+ "rewards/margins": 0.1434161365032196,
68
+ "rewards/rejected": 0.2799311578273773,
69
+ "step": 20
70
+ },
71
+ {
72
+ "epoch": 0.08547008547008547,
73
+ "grad_norm": 33.2696083475879,
74
+ "learning_rate": 9.992599188865604e-07,
75
+ "logits/chosen": -2.314507007598877,
76
+ "logits/rejected": -2.3168132305145264,
77
+ "logps/chosen": -150.67019653320312,
78
+ "logps/rejected": -156.8417510986328,
79
+ "loss": 0.6501,
80
+ "rewards/accuracies": 0.543749988079071,
81
+ "rewards/chosen": 0.4975205063819885,
82
+ "rewards/margins": 0.15743504464626312,
83
+ "rewards/rejected": 0.3400854766368866,
84
+ "step": 25
85
+ },
86
+ {
87
+ "epoch": 0.10256410256410256,
88
+ "grad_norm": 34.42253361988952,
89
+ "learning_rate": 9.98684552745256e-07,
90
+ "logits/chosen": -2.243194103240967,
91
+ "logits/rejected": -2.251340866088867,
92
+ "logps/chosen": -161.2266845703125,
93
+ "logps/rejected": -161.32298278808594,
94
+ "loss": 0.6289,
95
+ "rewards/accuracies": 0.6187499761581421,
96
+ "rewards/chosen": 0.4243805408477783,
97
+ "rewards/margins": 0.2635195851325989,
98
+ "rewards/rejected": 0.16086098551750183,
99
+ "step": 30
100
+ },
101
+ {
102
+ "epoch": 0.11965811965811966,
103
+ "grad_norm": 31.414296706456245,
104
+ "learning_rate": 9.979451208349055e-07,
105
+ "logits/chosen": -2.30315899848938,
106
+ "logits/rejected": -2.289762496948242,
107
+ "logps/chosen": -171.71713256835938,
108
+ "logps/rejected": -174.50900268554688,
109
+ "loss": 0.6296,
110
+ "rewards/accuracies": 0.65625,
111
+ "rewards/chosen": -0.019384615123271942,
112
+ "rewards/margins": 0.318477988243103,
113
+ "rewards/rejected": -0.3378625512123108,
114
+ "step": 35
115
+ },
116
+ {
117
+ "epoch": 0.13675213675213677,
118
+ "grad_norm": 32.071830655862556,
119
+ "learning_rate": 9.970418664264595e-07,
120
+ "logits/chosen": -2.3935599327087402,
121
+ "logits/rejected": -2.3812546730041504,
122
+ "logps/chosen": -171.0698699951172,
123
+ "logps/rejected": -176.58578491210938,
124
+ "loss": 0.5991,
125
+ "rewards/accuracies": 0.675000011920929,
126
+ "rewards/chosen": -0.26089853048324585,
127
+ "rewards/margins": 0.5235068202018738,
128
+ "rewards/rejected": -0.7844053506851196,
129
+ "step": 40
130
+ },
131
+ {
132
+ "epoch": 0.15384615384615385,
133
+ "grad_norm": 36.19466541168301,
134
+ "learning_rate": 9.95975086687994e-07,
135
+ "logits/chosen": -2.4914021492004395,
136
+ "logits/rejected": -2.4973323345184326,
137
+ "logps/chosen": -163.68099975585938,
138
+ "logps/rejected": -167.174072265625,
139
+ "loss": 0.6141,
140
+ "rewards/accuracies": 0.7250000238418579,
141
+ "rewards/chosen": -0.2962096929550171,
142
+ "rewards/margins": 0.4588828682899475,
143
+ "rewards/rejected": -0.7550925016403198,
144
+ "step": 45
145
+ },
146
+ {
147
+ "epoch": 0.17094017094017094,
148
+ "grad_norm": 31.16276115760231,
149
+ "learning_rate": 9.947451325869439e-07,
150
+ "logits/chosen": -2.5575203895568848,
151
+ "logits/rejected": -2.557717800140381,
152
+ "logps/chosen": -172.04318237304688,
153
+ "logps/rejected": -177.67672729492188,
154
+ "loss": 0.5777,
155
+ "rewards/accuracies": 0.731249988079071,
156
+ "rewards/chosen": -0.2069791853427887,
157
+ "rewards/margins": 0.6018465757369995,
158
+ "rewards/rejected": -0.808825671672821,
159
+ "step": 50
160
+ },
161
+ {
162
+ "epoch": 0.17094017094017094,
163
+ "eval_logits/chosen": -2.5221025943756104,
164
+ "eval_logits/rejected": -2.5152711868286133,
165
+ "eval_logps/chosen": -163.01820373535156,
166
+ "eval_logps/rejected": -169.54832458496094,
167
+ "eval_loss": 0.5812540650367737,
168
+ "eval_rewards/accuracies": 0.6682692170143127,
169
+ "eval_rewards/chosen": -0.45408713817596436,
170
+ "eval_rewards/margins": 0.6127156615257263,
171
+ "eval_rewards/rejected": -1.0668028593063354,
172
+ "eval_runtime": 510.3361,
173
+ "eval_samples_per_second": 16.291,
174
+ "eval_steps_per_second": 0.255,
175
+ "step": 50
176
+ },
177
+ {
178
+ "epoch": 0.18803418803418803,
179
+ "grad_norm": 31.575578721339145,
180
+ "learning_rate": 9.933524087746347e-07,
181
+ "logits/chosen": -2.490377426147461,
182
+ "logits/rejected": -2.4825081825256348,
183
+ "logps/chosen": -168.06161499023438,
184
+ "logps/rejected": -175.0494384765625,
185
+ "loss": 0.5706,
186
+ "rewards/accuracies": 0.737500011920929,
187
+ "rewards/chosen": -0.5060762763023376,
188
+ "rewards/margins": 0.7589826583862305,
189
+ "rewards/rejected": -1.2650587558746338,
190
+ "step": 55
191
+ },
192
+ {
193
+ "epoch": 0.20512820512820512,
194
+ "grad_norm": 30.171745273288415,
195
+ "learning_rate": 9.917973734531549e-07,
196
+ "logits/chosen": -2.48228120803833,
197
+ "logits/rejected": -2.4833157062530518,
198
+ "logps/chosen": -159.47142028808594,
199
+ "logps/rejected": -170.63671875,
200
+ "loss": 0.5753,
201
+ "rewards/accuracies": 0.675000011920929,
202
+ "rewards/chosen": -0.35752761363983154,
203
+ "rewards/margins": 0.5991309881210327,
204
+ "rewards/rejected": -0.9566585421562195,
205
+ "step": 60
206
+ },
207
+ {
208
+ "epoch": 0.2222222222222222,
209
+ "grad_norm": 32.13878319029882,
210
+ "learning_rate": 9.90080538224607e-07,
211
+ "logits/chosen": -2.585407018661499,
212
+ "logits/rejected": -2.5767769813537598,
213
+ "logps/chosen": -157.43936157226562,
214
+ "logps/rejected": -166.13589477539062,
215
+ "loss": 0.566,
216
+ "rewards/accuracies": 0.6937500238418579,
217
+ "rewards/chosen": -0.02057185396552086,
218
+ "rewards/margins": 0.47568243741989136,
219
+ "rewards/rejected": -0.4962543547153473,
220
+ "step": 65
221
+ },
222
+ {
223
+ "epoch": 0.23931623931623933,
224
+ "grad_norm": 29.494674721856043,
225
+ "learning_rate": 9.882024679227938e-07,
226
+ "logits/chosen": -2.6504979133605957,
227
+ "logits/rejected": -2.6398470401763916,
228
+ "logps/chosen": -178.0801239013672,
229
+ "logps/rejected": -179.46328735351562,
230
+ "loss": 0.5444,
231
+ "rewards/accuracies": 0.706250011920929,
232
+ "rewards/chosen": -0.43436694145202637,
233
+ "rewards/margins": 0.8427752256393433,
234
+ "rewards/rejected": -1.27714204788208,
235
+ "step": 70
236
+ },
237
+ {
238
+ "epoch": 0.2564102564102564,
239
+ "grad_norm": 28.856733948308104,
240
+ "learning_rate": 9.861637804273881e-07,
241
+ "logits/chosen": -2.660489082336426,
242
+ "logits/rejected": -2.655539035797119,
243
+ "logps/chosen": -162.1233673095703,
244
+ "logps/rejected": -170.16131591796875,
245
+ "loss": 0.5568,
246
+ "rewards/accuracies": 0.699999988079071,
247
+ "rewards/chosen": -0.4032784402370453,
248
+ "rewards/margins": 0.6959114074707031,
249
+ "rewards/rejected": -1.0991899967193604,
250
+ "step": 75
251
+ },
252
+ {
253
+ "epoch": 0.27350427350427353,
254
+ "grad_norm": 26.646061534818323,
255
+ "learning_rate": 9.83965146460653e-07,
256
+ "logits/chosen": -2.6391615867614746,
257
+ "logits/rejected": -2.628577709197998,
258
+ "logps/chosen": -168.58099365234375,
259
+ "logps/rejected": -179.22805786132812,
260
+ "loss": 0.5448,
261
+ "rewards/accuracies": 0.6812499761581421,
262
+ "rewards/chosen": -0.6665827035903931,
263
+ "rewards/margins": 0.8240470886230469,
264
+ "rewards/rejected": -1.4906299114227295,
265
+ "step": 80
266
+ },
267
+ {
268
+ "epoch": 0.2905982905982906,
269
+ "grad_norm": 36.04159750418885,
270
+ "learning_rate": 9.816072893667758e-07,
271
+ "logits/chosen": -2.6322970390319824,
272
+ "logits/rejected": -2.6053385734558105,
273
+ "logps/chosen": -174.82640075683594,
274
+ "logps/rejected": -186.0735626220703,
275
+ "loss": 0.5579,
276
+ "rewards/accuracies": 0.7562500238418579,
277
+ "rewards/chosen": -1.0639268159866333,
278
+ "rewards/margins": 1.0258175134658813,
279
+ "rewards/rejected": -2.0897443294525146,
280
+ "step": 85
281
+ },
282
+ {
283
+ "epoch": 0.3076923076923077,
284
+ "grad_norm": 26.922939193632168,
285
+ "learning_rate": 9.790909848738904e-07,
286
+ "logits/chosen": -2.60801362991333,
287
+ "logits/rejected": -2.6101624965667725,
288
+ "logps/chosen": -176.20538330078125,
289
+ "logps/rejected": -184.7812957763672,
290
+ "loss": 0.5215,
291
+ "rewards/accuracies": 0.6312500238418579,
292
+ "rewards/chosen": -0.9929834604263306,
293
+ "rewards/margins": 0.8646324276924133,
294
+ "rewards/rejected": -1.8576160669326782,
295
+ "step": 90
296
+ },
297
+ {
298
+ "epoch": 0.3247863247863248,
299
+ "grad_norm": 30.3564450245371,
300
+ "learning_rate": 9.764170608388647e-07,
301
+ "logits/chosen": -2.6054036617279053,
302
+ "logits/rejected": -2.5733799934387207,
303
+ "logps/chosen": -168.037109375,
304
+ "logps/rejected": -174.51144409179688,
305
+ "loss": 0.5197,
306
+ "rewards/accuracies": 0.762499988079071,
307
+ "rewards/chosen": -0.6652337312698364,
308
+ "rewards/margins": 1.060430884361267,
309
+ "rewards/rejected": -1.725664734840393,
310
+ "step": 95
311
+ },
312
+ {
313
+ "epoch": 0.3418803418803419,
314
+ "grad_norm": 28.936164680674203,
315
+ "learning_rate": 9.735863969749371e-07,
316
+ "logits/chosen": -2.5255179405212402,
317
+ "logits/rejected": -2.4874520301818848,
318
+ "logps/chosen": -177.73861694335938,
319
+ "logps/rejected": -189.82369995117188,
320
+ "loss": 0.4982,
321
+ "rewards/accuracies": 0.706250011920929,
322
+ "rewards/chosen": -0.8511013984680176,
323
+ "rewards/margins": 1.1354777812957764,
324
+ "rewards/rejected": -1.986579179763794,
325
+ "step": 100
326
+ },
327
+ {
328
+ "epoch": 0.3418803418803419,
329
+ "eval_logits/chosen": -2.484687328338623,
330
+ "eval_logits/rejected": -2.460559368133545,
331
+ "eval_logps/chosen": -168.28323364257812,
332
+ "eval_logps/rejected": -180.8539276123047,
333
+ "eval_loss": 0.5161151885986328,
334
+ "eval_rewards/accuracies": 0.7211538553237915,
335
+ "eval_rewards/chosen": -0.9805887937545776,
336
+ "eval_rewards/margins": 1.2167747020721436,
337
+ "eval_rewards/rejected": -2.1973636150360107,
338
+ "eval_runtime": 510.3447,
339
+ "eval_samples_per_second": 16.291,
340
+ "eval_steps_per_second": 0.255,
341
+ "step": 100
342
+ },
343
+ {
344
+ "epoch": 0.358974358974359,
345
+ "grad_norm": 31.089971589067016,
346
+ "learning_rate": 9.705999245622956e-07,
347
+ "logits/chosen": -2.4702706336975098,
348
+ "logits/rejected": -2.4523651599884033,
349
+ "logps/chosen": -170.59246826171875,
350
+ "logps/rejected": -182.99813842773438,
351
+ "loss": 0.4991,
352
+ "rewards/accuracies": 0.6937500238418579,
353
+ "rewards/chosen": -0.8999192118644714,
354
+ "rewards/margins": 0.8702341318130493,
355
+ "rewards/rejected": -1.770153284072876,
356
+ "step": 105
357
+ },
358
+ {
359
+ "epoch": 0.37606837606837606,
360
+ "grad_norm": 27.339023914835686,
361
+ "learning_rate": 9.674586261416873e-07,
362
+ "logits/chosen": -2.4866347312927246,
363
+ "logits/rejected": -2.4518179893493652,
364
+ "logps/chosen": -179.46290588378906,
365
+ "logps/rejected": -188.7920379638672,
366
+ "loss": 0.5213,
367
+ "rewards/accuracies": 0.706250011920929,
368
+ "rewards/chosen": -0.6938365697860718,
369
+ "rewards/margins": 1.0765600204467773,
370
+ "rewards/rejected": -1.7703965902328491,
371
+ "step": 110
372
+ },
373
+ {
374
+ "epoch": 0.39316239316239315,
375
+ "grad_norm": 31.312902469600562,
376
+ "learning_rate": 9.641635351911664e-07,
377
+ "logits/chosen": -2.4456398487091064,
378
+ "logits/rejected": -2.426159381866455,
379
+ "logps/chosen": -170.3855438232422,
380
+ "logps/rejected": -181.9676513671875,
381
+ "loss": 0.4823,
382
+ "rewards/accuracies": 0.71875,
383
+ "rewards/chosen": -0.8490931391716003,
384
+ "rewards/margins": 1.2224478721618652,
385
+ "rewards/rejected": -2.0715408325195312,
386
+ "step": 115
387
+ },
388
+ {
389
+ "epoch": 0.41025641025641024,
390
+ "grad_norm": 25.966469642807997,
391
+ "learning_rate": 9.607157357860821e-07,
392
+ "logits/chosen": -2.4072113037109375,
393
+ "logits/rejected": -2.3874144554138184,
394
+ "logps/chosen": -187.41197204589844,
395
+ "logps/rejected": -201.69454956054688,
396
+ "loss": 0.5037,
397
+ "rewards/accuracies": 0.7437499761581421,
398
+ "rewards/chosen": -1.0798847675323486,
399
+ "rewards/margins": 1.3365159034729004,
400
+ "rewards/rejected": -2.41640043258667,
401
+ "step": 120
402
+ },
403
+ {
404
+ "epoch": 0.42735042735042733,
405
+ "grad_norm": 32.18242375190423,
406
+ "learning_rate": 9.571163622424225e-07,
407
+ "logits/chosen": -2.2766659259796143,
408
+ "logits/rejected": -2.252072811126709,
409
+ "logps/chosen": -174.78514099121094,
410
+ "logps/rejected": -187.40646362304688,
411
+ "loss": 0.5019,
412
+ "rewards/accuracies": 0.706250011920929,
413
+ "rewards/chosen": -1.5247443914413452,
414
+ "rewards/margins": 1.2177503108978271,
415
+ "rewards/rejected": -2.742494821548462,
416
+ "step": 125
417
+ },
418
+ {
419
+ "epoch": 0.4444444444444444,
420
+ "grad_norm": 30.579550576640443,
421
+ "learning_rate": 9.533665987436261e-07,
422
+ "logits/chosen": -2.182610034942627,
423
+ "logits/rejected": -2.128113269805908,
424
+ "logps/chosen": -178.1033477783203,
425
+ "logps/rejected": -197.4458465576172,
426
+ "loss": 0.4957,
427
+ "rewards/accuracies": 0.6875,
428
+ "rewards/chosen": -1.5623412132263184,
429
+ "rewards/margins": 1.2608497142791748,
430
+ "rewards/rejected": -2.823190689086914,
431
+ "step": 130
432
+ },
433
+ {
434
+ "epoch": 0.46153846153846156,
435
+ "grad_norm": 29.287644373971865,
436
+ "learning_rate": 9.494676789509899e-07,
437
+ "logits/chosen": -2.1067867279052734,
438
+ "logits/rejected": -2.0683400630950928,
439
+ "logps/chosen": -176.67918395996094,
440
+ "logps/rejected": -193.65371704101562,
441
+ "loss": 0.4939,
442
+ "rewards/accuracies": 0.762499988079071,
443
+ "rewards/chosen": -1.1053364276885986,
444
+ "rewards/margins": 1.3829355239868164,
445
+ "rewards/rejected": -2.488272190093994,
446
+ "step": 135
447
+ },
448
+ {
449
+ "epoch": 0.47863247863247865,
450
+ "grad_norm": 27.563555703636343,
451
+ "learning_rate": 9.454208855977985e-07,
452
+ "logits/chosen": -2.0855822563171387,
453
+ "logits/rejected": -2.013296127319336,
454
+ "logps/chosen": -178.40390014648438,
455
+ "logps/rejected": -196.03305053710938,
456
+ "loss": 0.4715,
457
+ "rewards/accuracies": 0.737500011920929,
458
+ "rewards/chosen": -1.443866491317749,
459
+ "rewards/margins": 1.600778341293335,
460
+ "rewards/rejected": -3.044644832611084,
461
+ "step": 140
462
+ },
463
+ {
464
+ "epoch": 0.49572649572649574,
465
+ "grad_norm": 30.234814125811326,
466
+ "learning_rate": 9.41227550067308e-07,
467
+ "logits/chosen": -2.0734238624572754,
468
+ "logits/rejected": -2.0634400844573975,
469
+ "logps/chosen": -179.51080322265625,
470
+ "logps/rejected": -191.87046813964844,
471
+ "loss": 0.4798,
472
+ "rewards/accuracies": 0.7749999761581421,
473
+ "rewards/chosen": -1.6011661291122437,
474
+ "rewards/margins": 1.445229172706604,
475
+ "rewards/rejected": -3.0463955402374268,
476
+ "step": 145
477
+ },
478
+ {
479
+ "epoch": 0.5128205128205128,
480
+ "grad_norm": 31.371346339775513,
481
+ "learning_rate": 9.36889051954725e-07,
482
+ "logits/chosen": -2.127821683883667,
483
+ "logits/rejected": -2.080082416534424,
484
+ "logps/chosen": -180.66383361816406,
485
+ "logps/rejected": -196.1031494140625,
486
+ "loss": 0.4954,
487
+ "rewards/accuracies": 0.7437499761581421,
488
+ "rewards/chosen": -1.6335647106170654,
489
+ "rewards/margins": 1.5422546863555908,
490
+ "rewards/rejected": -3.1758196353912354,
491
+ "step": 150
492
+ },
493
+ {
494
+ "epoch": 0.5128205128205128,
495
+ "eval_logits/chosen": -2.1472573280334473,
496
+ "eval_logits/rejected": -2.0990829467773438,
497
+ "eval_logps/chosen": -173.8290557861328,
498
+ "eval_logps/rejected": -191.683349609375,
499
+ "eval_loss": 0.47699737548828125,
500
+ "eval_rewards/accuracies": 0.754807710647583,
501
+ "eval_rewards/chosen": -1.5351712703704834,
502
+ "eval_rewards/margins": 1.7451337575912476,
503
+ "eval_rewards/rejected": -3.2803049087524414,
504
+ "eval_runtime": 510.7048,
505
+ "eval_samples_per_second": 16.279,
506
+ "eval_steps_per_second": 0.255,
507
+ "step": 150
508
+ },
509
+ {
510
+ "epoch": 0.5299145299145299,
511
+ "grad_norm": 27.790777356361556,
512
+ "learning_rate": 9.324068186133245e-07,
513
+ "logits/chosen": -2.1372084617614746,
514
+ "logits/rejected": -2.124948024749756,
515
+ "logps/chosen": -172.3369598388672,
516
+ "logps/rejected": -186.5850372314453,
517
+ "loss": 0.4644,
518
+ "rewards/accuracies": 0.7875000238418579,
519
+ "rewards/chosen": -1.3583369255065918,
520
+ "rewards/margins": 1.7439367771148682,
521
+ "rewards/rejected": -3.102273464202881,
522
+ "step": 155
523
+ },
524
+ {
525
+ "epoch": 0.5470085470085471,
526
+ "grad_norm": 27.612583401785376,
527
+ "learning_rate": 9.277823246848536e-07,
528
+ "logits/chosen": -2.2635793685913086,
529
+ "logits/rejected": -2.2123026847839355,
530
+ "logps/chosen": -186.25137329101562,
531
+ "logps/rejected": -196.69564819335938,
532
+ "loss": 0.4547,
533
+ "rewards/accuracies": 0.71875,
534
+ "rewards/chosen": -1.2192834615707397,
535
+ "rewards/margins": 1.371063470840454,
536
+ "rewards/rejected": -2.5903468132019043,
537
+ "step": 160
538
+ },
539
+ {
540
+ "epoch": 0.5641025641025641,
541
+ "grad_norm": 28.168886287584876,
542
+ "learning_rate": 9.230170916143793e-07,
543
+ "logits/chosen": -2.3309006690979004,
544
+ "logits/rejected": -2.2978808879852295,
545
+ "logps/chosen": -174.7559814453125,
546
+ "logps/rejected": -195.68280029296875,
547
+ "loss": 0.4967,
548
+ "rewards/accuracies": 0.75,
549
+ "rewards/chosen": -1.0855658054351807,
550
+ "rewards/margins": 1.6249233484268188,
551
+ "rewards/rejected": -2.710489273071289,
552
+ "step": 165
553
+ },
554
+ {
555
+ "epoch": 0.5811965811965812,
556
+ "grad_norm": 28.93959851544435,
557
+ "learning_rate": 9.181126871497378e-07,
558
+ "logits/chosen": -2.376833915710449,
559
+ "logits/rejected": -2.340681552886963,
560
+ "logps/chosen": -175.3675537109375,
561
+ "logps/rejected": -194.9619903564453,
562
+ "loss": 0.4651,
563
+ "rewards/accuracies": 0.7875000238418579,
564
+ "rewards/chosen": -0.9624043703079224,
565
+ "rewards/margins": 1.7745708227157593,
566
+ "rewards/rejected": -2.7369751930236816,
567
+ "step": 170
568
+ },
569
+ {
570
+ "epoch": 0.5982905982905983,
571
+ "grad_norm": 30.43477724579486,
572
+ "learning_rate": 9.130707248257491e-07,
573
+ "logits/chosen": -2.458378553390503,
574
+ "logits/rejected": -2.4171223640441895,
575
+ "logps/chosen": -168.79849243164062,
576
+ "logps/rejected": -178.6556396484375,
577
+ "loss": 0.4728,
578
+ "rewards/accuracies": 0.75,
579
+ "rewards/chosen": -0.9254748225212097,
580
+ "rewards/margins": 1.5751961469650269,
581
+ "rewards/rejected": -2.500671148300171,
582
+ "step": 175
583
+ },
584
+ {
585
+ "epoch": 0.6153846153846154,
586
+ "grad_norm": 25.220318056395065,
587
+ "learning_rate": 9.078928634333698e-07,
588
+ "logits/chosen": -2.4454641342163086,
589
+ "logits/rejected": -2.4170265197753906,
590
+ "logps/chosen": -181.41317749023438,
591
+ "logps/rejected": -199.88668823242188,
592
+ "loss": 0.4526,
593
+ "rewards/accuracies": 0.824999988079071,
594
+ "rewards/chosen": -0.84205561876297,
595
+ "rewards/margins": 1.7803510427474976,
596
+ "rewards/rejected": -2.622406482696533,
597
+ "step": 180
598
+ },
599
+ {
600
+ "epoch": 0.6324786324786325,
601
+ "grad_norm": 29.414031929374275,
602
+ "learning_rate": 9.025808064739549e-07,
603
+ "logits/chosen": -2.4103400707244873,
604
+ "logits/rejected": -2.370731830596924,
605
+ "logps/chosen": -178.70916748046875,
606
+ "logps/rejected": -193.0004119873047,
607
+ "loss": 0.4891,
608
+ "rewards/accuracies": 0.768750011920929,
609
+ "rewards/chosen": -1.174070119857788,
610
+ "rewards/margins": 1.535239338874817,
611
+ "rewards/rejected": -2.7093093395233154,
612
+ "step": 185
613
+ },
614
+ {
615
+ "epoch": 0.6495726495726496,
616
+ "grad_norm": 26.0372223221703,
617
+ "learning_rate": 8.971363015988113e-07,
618
+ "logits/chosen": -2.3428735733032227,
619
+ "logits/rejected": -2.2986531257629395,
620
+ "logps/chosen": -173.8651580810547,
621
+ "logps/rejected": -194.9317626953125,
622
+ "loss": 0.4643,
623
+ "rewards/accuracies": 0.78125,
624
+ "rewards/chosen": -1.1425771713256836,
625
+ "rewards/margins": 1.611919641494751,
626
+ "rewards/rejected": -2.7544968128204346,
627
+ "step": 190
628
+ },
629
+ {
630
+ "epoch": 0.6666666666666666,
631
+ "grad_norm": 33.87434178682573,
632
+ "learning_rate": 8.91561140034225e-07,
633
+ "logits/chosen": -2.2664923667907715,
634
+ "logits/rejected": -2.2088184356689453,
635
+ "logps/chosen": -172.7240753173828,
636
+ "logps/rejected": -193.1275177001953,
637
+ "loss": 0.5029,
638
+ "rewards/accuracies": 0.75,
639
+ "rewards/chosen": -1.3134868144989014,
640
+ "rewards/margins": 1.5050963163375854,
641
+ "rewards/rejected": -2.8185834884643555,
642
+ "step": 195
643
+ },
644
+ {
645
+ "epoch": 0.6837606837606838,
646
+ "grad_norm": 25.21313391058931,
647
+ "learning_rate": 8.858571559921537e-07,
648
+ "logits/chosen": -2.191737174987793,
649
+ "logits/rejected": -2.1188113689422607,
650
+ "logps/chosen": -174.46722412109375,
651
+ "logps/rejected": -188.4197540283203,
652
+ "loss": 0.4567,
653
+ "rewards/accuracies": 0.75,
654
+ "rewards/chosen": -1.026064157485962,
655
+ "rewards/margins": 1.5865710973739624,
656
+ "rewards/rejected": -2.612635374069214,
657
+ "step": 200
658
+ },
659
+ {
660
+ "epoch": 0.6837606837606838,
661
+ "eval_logits/chosen": -2.1586899757385254,
662
+ "eval_logits/rejected": -2.1090493202209473,
663
+ "eval_logps/chosen": -170.4287872314453,
664
+ "eval_logps/rejected": -187.2865447998047,
665
+ "eval_loss": 0.45979756116867065,
666
+ "eval_rewards/accuracies": 0.7596153616905212,
667
+ "eval_rewards/chosen": -1.1951465606689453,
668
+ "eval_rewards/margins": 1.64547860622406,
669
+ "eval_rewards/rejected": -2.840625047683716,
670
+ "eval_runtime": 510.4854,
671
+ "eval_samples_per_second": 16.286,
672
+ "eval_steps_per_second": 0.255,
673
+ "step": 200
674
+ }
675
+ ],
676
+ "logging_steps": 5,
677
+ "max_steps": 876,
678
+ "num_input_tokens_seen": 0,
679
+ "num_train_epochs": 3,
680
+ "save_steps": 100,
681
+ "stateful_callbacks": {
682
+ "TrainerControl": {
683
+ "args": {
684
+ "should_epoch_stop": false,
685
+ "should_evaluate": false,
686
+ "should_log": false,
687
+ "should_save": true,
688
+ "should_training_stop": false
689
+ },
690
+ "attributes": {}
691
+ }
692
+ },
693
+ "total_flos": 2358113407598592.0,
694
+ "train_batch_size": 8,
695
+ "trial_name": null,
696
+ "trial_params": null
697
+ }
checkpoint-200/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:82da4d1d6d59805e00ef2db173d4cb9ade65e4282b4e4e61c54f617596094735
3
+ size 7096
checkpoint-300/added_tokens.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "<image>": 32000,
3
+ "<pad>": 32001
4
+ }
checkpoint-300/config.json ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/data/align-anything/hantao/models/llava-v1.6-mistral-7b-hf",
3
+ "architectures": [
4
+ "LlavaNextForConditionalGeneration"
5
+ ],
6
+ "hidden_size": 4096,
7
+ "ignore_index": -100,
8
+ "image_grid_pinpoints": [
9
+ [
10
+ 336,
11
+ 672
12
+ ],
13
+ [
14
+ 672,
15
+ 336
16
+ ],
17
+ [
18
+ 672,
19
+ 672
20
+ ],
21
+ [
22
+ 1008,
23
+ 336
24
+ ],
25
+ [
26
+ 336,
27
+ 1008
28
+ ]
29
+ ],
30
+ "image_seq_length": 576,
31
+ "image_token_index": 32000,
32
+ "model_type": "llava_next",
33
+ "projector_hidden_act": "gelu",
34
+ "text_config": {
35
+ "_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
36
+ "architectures": [
37
+ "MistralForCausalLM"
38
+ ],
39
+ "intermediate_size": 14336,
40
+ "max_position_embeddings": 32768,
41
+ "model_type": "mistral",
42
+ "num_key_value_heads": 8,
43
+ "rms_norm_eps": 1e-05,
44
+ "rope_theta": 1000000.0,
45
+ "sliding_window": null,
46
+ "torch_dtype": "bfloat16",
47
+ "vocab_size": 32064
48
+ },
49
+ "tie_word_embeddings": false,
50
+ "torch_dtype": "bfloat16",
51
+ "transformers_version": "4.45.2",
52
+ "use_cache": false,
53
+ "use_image_newline_parameter": true,
54
+ "vision_config": {
55
+ "hidden_size": 1024,
56
+ "image_size": 336,
57
+ "intermediate_size": 4096,
58
+ "model_type": "clip_vision_model",
59
+ "num_attention_heads": 16,
60
+ "num_hidden_layers": 24,
61
+ "patch_size": 14,
62
+ "projection_dim": 768,
63
+ "vocab_size": 32000
64
+ },
65
+ "vision_feature_layer": -2,
66
+ "vision_feature_select_strategy": "default",
67
+ "vocab_size": 32064
68
+ }
checkpoint-300/generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": 2,
5
+ "transformers_version": "4.45.2"
6
+ }
checkpoint-300/model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b70297b2f6be1d0548a0aafaed2a3ff36d6319b27af81ea08bd15aac18e03f5a
3
+ size 4921618624
checkpoint-300/model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:83bb1810ae16b294441a3fbf7521cb303b38ee7accf3b23211d88a6cf22bf60a
3
+ size 4915917672
checkpoint-300/model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c9c989a774053947b8856a722d3f4a92a676d56811069d083ec49ed1ac315064
3
+ size 4915917680
checkpoint-300/model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b76fef1bba1c9489671692dcc6d0c4472674ef612a304ddd8bb5ae73e2d395f0
3
+ size 380134008
checkpoint-300/model.safetensors.index.json ADDED
@@ -0,0 +1,694 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 15133495296
4
+ },
5
+ "weight_map": {
6
+ "image_newline": "model-00001-of-00004.safetensors",
7
+ "language_model.lm_head.weight": "model-00004-of-00004.safetensors",
8
+ "language_model.model.embed_tokens.weight": "model-00001-of-00004.safetensors",
9
+ "language_model.model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
10
+ "language_model.model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
11
+ "language_model.model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
12
+ "language_model.model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
13
+ "language_model.model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
14
+ "language_model.model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
15
+ "language_model.model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
16
+ "language_model.model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
17
+ "language_model.model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
18
+ "language_model.model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
19
+ "language_model.model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
20
+ "language_model.model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
21
+ "language_model.model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
22
+ "language_model.model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
23
+ "language_model.model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
24
+ "language_model.model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
25
+ "language_model.model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
26
+ "language_model.model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
27
+ "language_model.model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
28
+ "language_model.model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
29
+ "language_model.model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
30
+ "language_model.model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
31
+ "language_model.model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
32
+ "language_model.model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
33
+ "language_model.model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
34
+ "language_model.model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
35
+ "language_model.model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
36
+ "language_model.model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
37
+ "language_model.model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
38
+ "language_model.model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
39
+ "language_model.model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
40
+ "language_model.model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
41
+ "language_model.model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
42
+ "language_model.model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
43
+ "language_model.model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
44
+ "language_model.model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
45
+ "language_model.model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
46
+ "language_model.model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
47
+ "language_model.model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
48
+ "language_model.model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
49
+ "language_model.model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
50
+ "language_model.model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
51
+ "language_model.model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
52
+ "language_model.model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
53
+ "language_model.model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
54
+ "language_model.model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
55
+ "language_model.model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
56
+ "language_model.model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
57
+ "language_model.model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
58
+ "language_model.model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
59
+ "language_model.model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
60
+ "language_model.model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
61
+ "language_model.model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
62
+ "language_model.model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
63
+ "language_model.model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
64
+ "language_model.model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
65
+ "language_model.model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
66
+ "language_model.model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
67
+ "language_model.model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
68
+ "language_model.model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
69
+ "language_model.model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
70
+ "language_model.model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
71
+ "language_model.model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
72
+ "language_model.model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
73
+ "language_model.model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
74
+ "language_model.model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
75
+ "language_model.model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
76
+ "language_model.model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
77
+ "language_model.model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
78
+ "language_model.model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
79
+ "language_model.model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
80
+ "language_model.model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
81
+ "language_model.model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
82
+ "language_model.model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
83
+ "language_model.model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
84
+ "language_model.model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
85
+ "language_model.model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
86
+ "language_model.model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
87
+ "language_model.model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
88
+ "language_model.model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
89
+ "language_model.model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
90
+ "language_model.model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
91
+ "language_model.model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
92
+ "language_model.model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
93
+ "language_model.model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
94
+ "language_model.model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
95
+ "language_model.model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
96
+ "language_model.model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
97
+ "language_model.model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
98
+ "language_model.model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
99
+ "language_model.model.layers.18.input_layernorm.weight": "model-00002-of-00004.safetensors",
100
+ "language_model.model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
101
+ "language_model.model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
102
+ "language_model.model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
103
+ "language_model.model.layers.18.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
104
+ "language_model.model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
105
+ "language_model.model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
106
+ "language_model.model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
107
+ "language_model.model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
108
+ "language_model.model.layers.19.input_layernorm.weight": "model-00002-of-00004.safetensors",
109
+ "language_model.model.layers.19.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
110
+ "language_model.model.layers.19.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
111
+ "language_model.model.layers.19.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
112
+ "language_model.model.layers.19.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
113
+ "language_model.model.layers.19.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
114
+ "language_model.model.layers.19.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
115
+ "language_model.model.layers.19.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
116
+ "language_model.model.layers.19.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
117
+ "language_model.model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
118
+ "language_model.model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
119
+ "language_model.model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
120
+ "language_model.model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
121
+ "language_model.model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
122
+ "language_model.model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
123
+ "language_model.model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
124
+ "language_model.model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
125
+ "language_model.model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
126
+ "language_model.model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
127
+ "language_model.model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
128
+ "language_model.model.layers.20.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
129
+ "language_model.model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
130
+ "language_model.model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
131
+ "language_model.model.layers.20.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
132
+ "language_model.model.layers.20.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
133
+ "language_model.model.layers.20.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
134
+ "language_model.model.layers.20.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
135
+ "language_model.model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
136
+ "language_model.model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
137
+ "language_model.model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
138
+ "language_model.model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
139
+ "language_model.model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
140
+ "language_model.model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
141
+ "language_model.model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
142
+ "language_model.model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
143
+ "language_model.model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
144
+ "language_model.model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
145
+ "language_model.model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
146
+ "language_model.model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
147
+ "language_model.model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
148
+ "language_model.model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
149
+ "language_model.model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
150
+ "language_model.model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
151
+ "language_model.model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
152
+ "language_model.model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
153
+ "language_model.model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
154
+ "language_model.model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
155
+ "language_model.model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
156
+ "language_model.model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
157
+ "language_model.model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
158
+ "language_model.model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
159
+ "language_model.model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
160
+ "language_model.model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
161
+ "language_model.model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
162
+ "language_model.model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
163
+ "language_model.model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
164
+ "language_model.model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
165
+ "language_model.model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
166
+ "language_model.model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
167
+ "language_model.model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
168
+ "language_model.model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
169
+ "language_model.model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
170
+ "language_model.model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
171
+ "language_model.model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
172
+ "language_model.model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
173
+ "language_model.model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
174
+ "language_model.model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
175
+ "language_model.model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
176
+ "language_model.model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
177
+ "language_model.model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
178
+ "language_model.model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
179
+ "language_model.model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
180
+ "language_model.model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
181
+ "language_model.model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
182
+ "language_model.model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
183
+ "language_model.model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
184
+ "language_model.model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
185
+ "language_model.model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
186
+ "language_model.model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
187
+ "language_model.model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
188
+ "language_model.model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
189
+ "language_model.model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
190
+ "language_model.model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
191
+ "language_model.model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
192
+ "language_model.model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
193
+ "language_model.model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
194
+ "language_model.model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
195
+ "language_model.model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
196
+ "language_model.model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
197
+ "language_model.model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
198
+ "language_model.model.layers.28.input_layernorm.weight": "model-00003-of-00004.safetensors",
199
+ "language_model.model.layers.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
200
+ "language_model.model.layers.28.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
201
+ "language_model.model.layers.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
202
+ "language_model.model.layers.28.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
203
+ "language_model.model.layers.28.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
204
+ "language_model.model.layers.28.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
205
+ "language_model.model.layers.28.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
206
+ "language_model.model.layers.28.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
207
+ "language_model.model.layers.29.input_layernorm.weight": "model-00003-of-00004.safetensors",
208
+ "language_model.model.layers.29.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
209
+ "language_model.model.layers.29.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
210
+ "language_model.model.layers.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
211
+ "language_model.model.layers.29.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
212
+ "language_model.model.layers.29.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
213
+ "language_model.model.layers.29.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
214
+ "language_model.model.layers.29.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
215
+ "language_model.model.layers.29.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
216
+ "language_model.model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
217
+ "language_model.model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
218
+ "language_model.model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
219
+ "language_model.model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
220
+ "language_model.model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
221
+ "language_model.model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
222
+ "language_model.model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
223
+ "language_model.model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
224
+ "language_model.model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
225
+ "language_model.model.layers.30.input_layernorm.weight": "model-00003-of-00004.safetensors",
226
+ "language_model.model.layers.30.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
227
+ "language_model.model.layers.30.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
228
+ "language_model.model.layers.30.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
229
+ "language_model.model.layers.30.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
230
+ "language_model.model.layers.30.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
231
+ "language_model.model.layers.30.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
232
+ "language_model.model.layers.30.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
233
+ "language_model.model.layers.30.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
234
+ "language_model.model.layers.31.input_layernorm.weight": "model-00004-of-00004.safetensors",
235
+ "language_model.model.layers.31.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
236
+ "language_model.model.layers.31.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
237
+ "language_model.model.layers.31.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
238
+ "language_model.model.layers.31.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
239
+ "language_model.model.layers.31.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
240
+ "language_model.model.layers.31.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
241
+ "language_model.model.layers.31.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
242
+ "language_model.model.layers.31.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
243
+ "language_model.model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
244
+ "language_model.model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
245
+ "language_model.model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
246
+ "language_model.model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
247
+ "language_model.model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
248
+ "language_model.model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
249
+ "language_model.model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
250
+ "language_model.model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
251
+ "language_model.model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
252
+ "language_model.model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
253
+ "language_model.model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
254
+ "language_model.model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
255
+ "language_model.model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
256
+ "language_model.model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
257
+ "language_model.model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
258
+ "language_model.model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
259
+ "language_model.model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
260
+ "language_model.model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
261
+ "language_model.model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
262
+ "language_model.model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
263
+ "language_model.model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
264
+ "language_model.model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
265
+ "language_model.model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
266
+ "language_model.model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
267
+ "language_model.model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
268
+ "language_model.model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
269
+ "language_model.model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
270
+ "language_model.model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
271
+ "language_model.model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
272
+ "language_model.model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
273
+ "language_model.model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
274
+ "language_model.model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
275
+ "language_model.model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
276
+ "language_model.model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
277
+ "language_model.model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
278
+ "language_model.model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
279
+ "language_model.model.layers.8.input_layernorm.weight": "model-00001-of-00004.safetensors",
280
+ "language_model.model.layers.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
281
+ "language_model.model.layers.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
282
+ "language_model.model.layers.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
283
+ "language_model.model.layers.8.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
284
+ "language_model.model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
285
+ "language_model.model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
286
+ "language_model.model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
287
+ "language_model.model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
288
+ "language_model.model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
289
+ "language_model.model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
290
+ "language_model.model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
291
+ "language_model.model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
292
+ "language_model.model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
293
+ "language_model.model.layers.9.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
294
+ "language_model.model.layers.9.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
295
+ "language_model.model.layers.9.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
296
+ "language_model.model.layers.9.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
297
+ "language_model.model.norm.weight": "model-00004-of-00004.safetensors",
298
+ "multi_modal_projector.linear_1.bias": "model-00001-of-00004.safetensors",
299
+ "multi_modal_projector.linear_1.weight": "model-00001-of-00004.safetensors",
300
+ "multi_modal_projector.linear_2.bias": "model-00001-of-00004.safetensors",
301
+ "multi_modal_projector.linear_2.weight": "model-00001-of-00004.safetensors",
302
+ "vision_tower.vision_model.embeddings.class_embedding": "model-00001-of-00004.safetensors",
303
+ "vision_tower.vision_model.embeddings.patch_embedding.weight": "model-00001-of-00004.safetensors",
304
+ "vision_tower.vision_model.embeddings.position_embedding.weight": "model-00001-of-00004.safetensors",
305
+ "vision_tower.vision_model.encoder.layers.0.layer_norm1.bias": "model-00001-of-00004.safetensors",
306
+ "vision_tower.vision_model.encoder.layers.0.layer_norm1.weight": "model-00001-of-00004.safetensors",
307
+ "vision_tower.vision_model.encoder.layers.0.layer_norm2.bias": "model-00001-of-00004.safetensors",
308
+ "vision_tower.vision_model.encoder.layers.0.layer_norm2.weight": "model-00001-of-00004.safetensors",
309
+ "vision_tower.vision_model.encoder.layers.0.mlp.fc1.bias": "model-00001-of-00004.safetensors",
310
+ "vision_tower.vision_model.encoder.layers.0.mlp.fc1.weight": "model-00001-of-00004.safetensors",
311
+ "vision_tower.vision_model.encoder.layers.0.mlp.fc2.bias": "model-00001-of-00004.safetensors",
312
+ "vision_tower.vision_model.encoder.layers.0.mlp.fc2.weight": "model-00001-of-00004.safetensors",
313
+ "vision_tower.vision_model.encoder.layers.0.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
314
+ "vision_tower.vision_model.encoder.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
315
+ "vision_tower.vision_model.encoder.layers.0.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
316
+ "vision_tower.vision_model.encoder.layers.0.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
317
+ "vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
318
+ "vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
319
+ "vision_tower.vision_model.encoder.layers.0.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
320
+ "vision_tower.vision_model.encoder.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
321
+ "vision_tower.vision_model.encoder.layers.1.layer_norm1.bias": "model-00001-of-00004.safetensors",
322
+ "vision_tower.vision_model.encoder.layers.1.layer_norm1.weight": "model-00001-of-00004.safetensors",
323
+ "vision_tower.vision_model.encoder.layers.1.layer_norm2.bias": "model-00001-of-00004.safetensors",
324
+ "vision_tower.vision_model.encoder.layers.1.layer_norm2.weight": "model-00001-of-00004.safetensors",
325
+ "vision_tower.vision_model.encoder.layers.1.mlp.fc1.bias": "model-00001-of-00004.safetensors",
326
+ "vision_tower.vision_model.encoder.layers.1.mlp.fc1.weight": "model-00001-of-00004.safetensors",
327
+ "vision_tower.vision_model.encoder.layers.1.mlp.fc2.bias": "model-00001-of-00004.safetensors",
328
+ "vision_tower.vision_model.encoder.layers.1.mlp.fc2.weight": "model-00001-of-00004.safetensors",
329
+ "vision_tower.vision_model.encoder.layers.1.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
330
+ "vision_tower.vision_model.encoder.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
331
+ "vision_tower.vision_model.encoder.layers.1.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
332
+ "vision_tower.vision_model.encoder.layers.1.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
333
+ "vision_tower.vision_model.encoder.layers.1.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
334
+ "vision_tower.vision_model.encoder.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
335
+ "vision_tower.vision_model.encoder.layers.1.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
336
+ "vision_tower.vision_model.encoder.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
337
+ "vision_tower.vision_model.encoder.layers.10.layer_norm1.bias": "model-00001-of-00004.safetensors",
338
+ "vision_tower.vision_model.encoder.layers.10.layer_norm1.weight": "model-00001-of-00004.safetensors",
339
+ "vision_tower.vision_model.encoder.layers.10.layer_norm2.bias": "model-00001-of-00004.safetensors",
340
+ "vision_tower.vision_model.encoder.layers.10.layer_norm2.weight": "model-00001-of-00004.safetensors",
341
+ "vision_tower.vision_model.encoder.layers.10.mlp.fc1.bias": "model-00001-of-00004.safetensors",
342
+ "vision_tower.vision_model.encoder.layers.10.mlp.fc1.weight": "model-00001-of-00004.safetensors",
343
+ "vision_tower.vision_model.encoder.layers.10.mlp.fc2.bias": "model-00001-of-00004.safetensors",
344
+ "vision_tower.vision_model.encoder.layers.10.mlp.fc2.weight": "model-00001-of-00004.safetensors",
345
+ "vision_tower.vision_model.encoder.layers.10.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
346
+ "vision_tower.vision_model.encoder.layers.10.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
347
+ "vision_tower.vision_model.encoder.layers.10.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
348
+ "vision_tower.vision_model.encoder.layers.10.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
349
+ "vision_tower.vision_model.encoder.layers.10.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
350
+ "vision_tower.vision_model.encoder.layers.10.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
351
+ "vision_tower.vision_model.encoder.layers.10.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
352
+ "vision_tower.vision_model.encoder.layers.10.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
353
+ "vision_tower.vision_model.encoder.layers.11.layer_norm1.bias": "model-00001-of-00004.safetensors",
354
+ "vision_tower.vision_model.encoder.layers.11.layer_norm1.weight": "model-00001-of-00004.safetensors",
355
+ "vision_tower.vision_model.encoder.layers.11.layer_norm2.bias": "model-00001-of-00004.safetensors",
356
+ "vision_tower.vision_model.encoder.layers.11.layer_norm2.weight": "model-00001-of-00004.safetensors",
357
+ "vision_tower.vision_model.encoder.layers.11.mlp.fc1.bias": "model-00001-of-00004.safetensors",
358
+ "vision_tower.vision_model.encoder.layers.11.mlp.fc1.weight": "model-00001-of-00004.safetensors",
359
+ "vision_tower.vision_model.encoder.layers.11.mlp.fc2.bias": "model-00001-of-00004.safetensors",
360
+ "vision_tower.vision_model.encoder.layers.11.mlp.fc2.weight": "model-00001-of-00004.safetensors",
361
+ "vision_tower.vision_model.encoder.layers.11.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
362
+ "vision_tower.vision_model.encoder.layers.11.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
363
+ "vision_tower.vision_model.encoder.layers.11.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
364
+ "vision_tower.vision_model.encoder.layers.11.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
365
+ "vision_tower.vision_model.encoder.layers.11.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
366
+ "vision_tower.vision_model.encoder.layers.11.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
367
+ "vision_tower.vision_model.encoder.layers.11.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
368
+ "vision_tower.vision_model.encoder.layers.11.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
369
+ "vision_tower.vision_model.encoder.layers.12.layer_norm1.bias": "model-00001-of-00004.safetensors",
370
+ "vision_tower.vision_model.encoder.layers.12.layer_norm1.weight": "model-00001-of-00004.safetensors",
371
+ "vision_tower.vision_model.encoder.layers.12.layer_norm2.bias": "model-00001-of-00004.safetensors",
372
+ "vision_tower.vision_model.encoder.layers.12.layer_norm2.weight": "model-00001-of-00004.safetensors",
373
+ "vision_tower.vision_model.encoder.layers.12.mlp.fc1.bias": "model-00001-of-00004.safetensors",
374
+ "vision_tower.vision_model.encoder.layers.12.mlp.fc1.weight": "model-00001-of-00004.safetensors",
375
+ "vision_tower.vision_model.encoder.layers.12.mlp.fc2.bias": "model-00001-of-00004.safetensors",
376
+ "vision_tower.vision_model.encoder.layers.12.mlp.fc2.weight": "model-00001-of-00004.safetensors",
377
+ "vision_tower.vision_model.encoder.layers.12.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
378
+ "vision_tower.vision_model.encoder.layers.12.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
379
+ "vision_tower.vision_model.encoder.layers.12.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
380
+ "vision_tower.vision_model.encoder.layers.12.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
381
+ "vision_tower.vision_model.encoder.layers.12.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
382
+ "vision_tower.vision_model.encoder.layers.12.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
383
+ "vision_tower.vision_model.encoder.layers.12.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
384
+ "vision_tower.vision_model.encoder.layers.12.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
385
+ "vision_tower.vision_model.encoder.layers.13.layer_norm1.bias": "model-00001-of-00004.safetensors",
386
+ "vision_tower.vision_model.encoder.layers.13.layer_norm1.weight": "model-00001-of-00004.safetensors",
387
+ "vision_tower.vision_model.encoder.layers.13.layer_norm2.bias": "model-00001-of-00004.safetensors",
388
+ "vision_tower.vision_model.encoder.layers.13.layer_norm2.weight": "model-00001-of-00004.safetensors",
389
+ "vision_tower.vision_model.encoder.layers.13.mlp.fc1.bias": "model-00001-of-00004.safetensors",
390
+ "vision_tower.vision_model.encoder.layers.13.mlp.fc1.weight": "model-00001-of-00004.safetensors",
391
+ "vision_tower.vision_model.encoder.layers.13.mlp.fc2.bias": "model-00001-of-00004.safetensors",
392
+ "vision_tower.vision_model.encoder.layers.13.mlp.fc2.weight": "model-00001-of-00004.safetensors",
393
+ "vision_tower.vision_model.encoder.layers.13.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
394
+ "vision_tower.vision_model.encoder.layers.13.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
395
+ "vision_tower.vision_model.encoder.layers.13.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
396
+ "vision_tower.vision_model.encoder.layers.13.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
397
+ "vision_tower.vision_model.encoder.layers.13.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
398
+ "vision_tower.vision_model.encoder.layers.13.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
399
+ "vision_tower.vision_model.encoder.layers.13.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
400
+ "vision_tower.vision_model.encoder.layers.13.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
401
+ "vision_tower.vision_model.encoder.layers.14.layer_norm1.bias": "model-00001-of-00004.safetensors",
402
+ "vision_tower.vision_model.encoder.layers.14.layer_norm1.weight": "model-00001-of-00004.safetensors",
403
+ "vision_tower.vision_model.encoder.layers.14.layer_norm2.bias": "model-00001-of-00004.safetensors",
404
+ "vision_tower.vision_model.encoder.layers.14.layer_norm2.weight": "model-00001-of-00004.safetensors",
405
+ "vision_tower.vision_model.encoder.layers.14.mlp.fc1.bias": "model-00001-of-00004.safetensors",
406
+ "vision_tower.vision_model.encoder.layers.14.mlp.fc1.weight": "model-00001-of-00004.safetensors",
407
+ "vision_tower.vision_model.encoder.layers.14.mlp.fc2.bias": "model-00001-of-00004.safetensors",
408
+ "vision_tower.vision_model.encoder.layers.14.mlp.fc2.weight": "model-00001-of-00004.safetensors",
409
+ "vision_tower.vision_model.encoder.layers.14.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
410
+ "vision_tower.vision_model.encoder.layers.14.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
411
+ "vision_tower.vision_model.encoder.layers.14.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
412
+ "vision_tower.vision_model.encoder.layers.14.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
413
+ "vision_tower.vision_model.encoder.layers.14.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
414
+ "vision_tower.vision_model.encoder.layers.14.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
415
+ "vision_tower.vision_model.encoder.layers.14.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
416
+ "vision_tower.vision_model.encoder.layers.14.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
417
+ "vision_tower.vision_model.encoder.layers.15.layer_norm1.bias": "model-00001-of-00004.safetensors",
418
+ "vision_tower.vision_model.encoder.layers.15.layer_norm1.weight": "model-00001-of-00004.safetensors",
419
+ "vision_tower.vision_model.encoder.layers.15.layer_norm2.bias": "model-00001-of-00004.safetensors",
420
+ "vision_tower.vision_model.encoder.layers.15.layer_norm2.weight": "model-00001-of-00004.safetensors",
421
+ "vision_tower.vision_model.encoder.layers.15.mlp.fc1.bias": "model-00001-of-00004.safetensors",
422
+ "vision_tower.vision_model.encoder.layers.15.mlp.fc1.weight": "model-00001-of-00004.safetensors",
423
+ "vision_tower.vision_model.encoder.layers.15.mlp.fc2.bias": "model-00001-of-00004.safetensors",
424
+ "vision_tower.vision_model.encoder.layers.15.mlp.fc2.weight": "model-00001-of-00004.safetensors",
425
+ "vision_tower.vision_model.encoder.layers.15.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
426
+ "vision_tower.vision_model.encoder.layers.15.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
427
+ "vision_tower.vision_model.encoder.layers.15.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
428
+ "vision_tower.vision_model.encoder.layers.15.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
429
+ "vision_tower.vision_model.encoder.layers.15.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
430
+ "vision_tower.vision_model.encoder.layers.15.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
431
+ "vision_tower.vision_model.encoder.layers.15.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
432
+ "vision_tower.vision_model.encoder.layers.15.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
433
+ "vision_tower.vision_model.encoder.layers.16.layer_norm1.bias": "model-00001-of-00004.safetensors",
434
+ "vision_tower.vision_model.encoder.layers.16.layer_norm1.weight": "model-00001-of-00004.safetensors",
435
+ "vision_tower.vision_model.encoder.layers.16.layer_norm2.bias": "model-00001-of-00004.safetensors",
436
+ "vision_tower.vision_model.encoder.layers.16.layer_norm2.weight": "model-00001-of-00004.safetensors",
437
+ "vision_tower.vision_model.encoder.layers.16.mlp.fc1.bias": "model-00001-of-00004.safetensors",
438
+ "vision_tower.vision_model.encoder.layers.16.mlp.fc1.weight": "model-00001-of-00004.safetensors",
439
+ "vision_tower.vision_model.encoder.layers.16.mlp.fc2.bias": "model-00001-of-00004.safetensors",
440
+ "vision_tower.vision_model.encoder.layers.16.mlp.fc2.weight": "model-00001-of-00004.safetensors",
441
+ "vision_tower.vision_model.encoder.layers.16.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
442
+ "vision_tower.vision_model.encoder.layers.16.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
443
+ "vision_tower.vision_model.encoder.layers.16.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
444
+ "vision_tower.vision_model.encoder.layers.16.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
445
+ "vision_tower.vision_model.encoder.layers.16.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
446
+ "vision_tower.vision_model.encoder.layers.16.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
447
+ "vision_tower.vision_model.encoder.layers.16.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
448
+ "vision_tower.vision_model.encoder.layers.16.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
449
+ "vision_tower.vision_model.encoder.layers.17.layer_norm1.bias": "model-00001-of-00004.safetensors",
450
+ "vision_tower.vision_model.encoder.layers.17.layer_norm1.weight": "model-00001-of-00004.safetensors",
451
+ "vision_tower.vision_model.encoder.layers.17.layer_norm2.bias": "model-00001-of-00004.safetensors",
452
+ "vision_tower.vision_model.encoder.layers.17.layer_norm2.weight": "model-00001-of-00004.safetensors",
453
+ "vision_tower.vision_model.encoder.layers.17.mlp.fc1.bias": "model-00001-of-00004.safetensors",
454
+ "vision_tower.vision_model.encoder.layers.17.mlp.fc1.weight": "model-00001-of-00004.safetensors",
455
+ "vision_tower.vision_model.encoder.layers.17.mlp.fc2.bias": "model-00001-of-00004.safetensors",
456
+ "vision_tower.vision_model.encoder.layers.17.mlp.fc2.weight": "model-00001-of-00004.safetensors",
457
+ "vision_tower.vision_model.encoder.layers.17.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
458
+ "vision_tower.vision_model.encoder.layers.17.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
459
+ "vision_tower.vision_model.encoder.layers.17.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
460
+ "vision_tower.vision_model.encoder.layers.17.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
461
+ "vision_tower.vision_model.encoder.layers.17.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
462
+ "vision_tower.vision_model.encoder.layers.17.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
463
+ "vision_tower.vision_model.encoder.layers.17.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
464
+ "vision_tower.vision_model.encoder.layers.17.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
465
+ "vision_tower.vision_model.encoder.layers.18.layer_norm1.bias": "model-00001-of-00004.safetensors",
466
+ "vision_tower.vision_model.encoder.layers.18.layer_norm1.weight": "model-00001-of-00004.safetensors",
467
+ "vision_tower.vision_model.encoder.layers.18.layer_norm2.bias": "model-00001-of-00004.safetensors",
468
+ "vision_tower.vision_model.encoder.layers.18.layer_norm2.weight": "model-00001-of-00004.safetensors",
469
+ "vision_tower.vision_model.encoder.layers.18.mlp.fc1.bias": "model-00001-of-00004.safetensors",
470
+ "vision_tower.vision_model.encoder.layers.18.mlp.fc1.weight": "model-00001-of-00004.safetensors",
471
+ "vision_tower.vision_model.encoder.layers.18.mlp.fc2.bias": "model-00001-of-00004.safetensors",
472
+ "vision_tower.vision_model.encoder.layers.18.mlp.fc2.weight": "model-00001-of-00004.safetensors",
473
+ "vision_tower.vision_model.encoder.layers.18.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
474
+ "vision_tower.vision_model.encoder.layers.18.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
475
+ "vision_tower.vision_model.encoder.layers.18.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
476
+ "vision_tower.vision_model.encoder.layers.18.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
477
+ "vision_tower.vision_model.encoder.layers.18.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
478
+ "vision_tower.vision_model.encoder.layers.18.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
479
+ "vision_tower.vision_model.encoder.layers.18.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
480
+ "vision_tower.vision_model.encoder.layers.18.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
481
+ "vision_tower.vision_model.encoder.layers.19.layer_norm1.bias": "model-00001-of-00004.safetensors",
482
+ "vision_tower.vision_model.encoder.layers.19.layer_norm1.weight": "model-00001-of-00004.safetensors",
483
+ "vision_tower.vision_model.encoder.layers.19.layer_norm2.bias": "model-00001-of-00004.safetensors",
484
+ "vision_tower.vision_model.encoder.layers.19.layer_norm2.weight": "model-00001-of-00004.safetensors",
485
+ "vision_tower.vision_model.encoder.layers.19.mlp.fc1.bias": "model-00001-of-00004.safetensors",
486
+ "vision_tower.vision_model.encoder.layers.19.mlp.fc1.weight": "model-00001-of-00004.safetensors",
487
+ "vision_tower.vision_model.encoder.layers.19.mlp.fc2.bias": "model-00001-of-00004.safetensors",
488
+ "vision_tower.vision_model.encoder.layers.19.mlp.fc2.weight": "model-00001-of-00004.safetensors",
489
+ "vision_tower.vision_model.encoder.layers.19.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
490
+ "vision_tower.vision_model.encoder.layers.19.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
491
+ "vision_tower.vision_model.encoder.layers.19.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
492
+ "vision_tower.vision_model.encoder.layers.19.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
493
+ "vision_tower.vision_model.encoder.layers.19.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
494
+ "vision_tower.vision_model.encoder.layers.19.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
495
+ "vision_tower.vision_model.encoder.layers.19.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
496
+ "vision_tower.vision_model.encoder.layers.19.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
497
+ "vision_tower.vision_model.encoder.layers.2.layer_norm1.bias": "model-00001-of-00004.safetensors",
498
+ "vision_tower.vision_model.encoder.layers.2.layer_norm1.weight": "model-00001-of-00004.safetensors",
499
+ "vision_tower.vision_model.encoder.layers.2.layer_norm2.bias": "model-00001-of-00004.safetensors",
500
+ "vision_tower.vision_model.encoder.layers.2.layer_norm2.weight": "model-00001-of-00004.safetensors",
501
+ "vision_tower.vision_model.encoder.layers.2.mlp.fc1.bias": "model-00001-of-00004.safetensors",
502
+ "vision_tower.vision_model.encoder.layers.2.mlp.fc1.weight": "model-00001-of-00004.safetensors",
503
+ "vision_tower.vision_model.encoder.layers.2.mlp.fc2.bias": "model-00001-of-00004.safetensors",
504
+ "vision_tower.vision_model.encoder.layers.2.mlp.fc2.weight": "model-00001-of-00004.safetensors",
505
+ "vision_tower.vision_model.encoder.layers.2.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
506
+ "vision_tower.vision_model.encoder.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
507
+ "vision_tower.vision_model.encoder.layers.2.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
508
+ "vision_tower.vision_model.encoder.layers.2.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
509
+ "vision_tower.vision_model.encoder.layers.2.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
510
+ "vision_tower.vision_model.encoder.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
511
+ "vision_tower.vision_model.encoder.layers.2.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
512
+ "vision_tower.vision_model.encoder.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
513
+ "vision_tower.vision_model.encoder.layers.20.layer_norm1.bias": "model-00001-of-00004.safetensors",
514
+ "vision_tower.vision_model.encoder.layers.20.layer_norm1.weight": "model-00001-of-00004.safetensors",
515
+ "vision_tower.vision_model.encoder.layers.20.layer_norm2.bias": "model-00001-of-00004.safetensors",
516
+ "vision_tower.vision_model.encoder.layers.20.layer_norm2.weight": "model-00001-of-00004.safetensors",
517
+ "vision_tower.vision_model.encoder.layers.20.mlp.fc1.bias": "model-00001-of-00004.safetensors",
518
+ "vision_tower.vision_model.encoder.layers.20.mlp.fc1.weight": "model-00001-of-00004.safetensors",
519
+ "vision_tower.vision_model.encoder.layers.20.mlp.fc2.bias": "model-00001-of-00004.safetensors",
520
+ "vision_tower.vision_model.encoder.layers.20.mlp.fc2.weight": "model-00001-of-00004.safetensors",
521
+ "vision_tower.vision_model.encoder.layers.20.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
522
+ "vision_tower.vision_model.encoder.layers.20.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
523
+ "vision_tower.vision_model.encoder.layers.20.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
524
+ "vision_tower.vision_model.encoder.layers.20.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
525
+ "vision_tower.vision_model.encoder.layers.20.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
526
+ "vision_tower.vision_model.encoder.layers.20.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
527
+ "vision_tower.vision_model.encoder.layers.20.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
528
+ "vision_tower.vision_model.encoder.layers.20.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
529
+ "vision_tower.vision_model.encoder.layers.21.layer_norm1.bias": "model-00001-of-00004.safetensors",
530
+ "vision_tower.vision_model.encoder.layers.21.layer_norm1.weight": "model-00001-of-00004.safetensors",
531
+ "vision_tower.vision_model.encoder.layers.21.layer_norm2.bias": "model-00001-of-00004.safetensors",
532
+ "vision_tower.vision_model.encoder.layers.21.layer_norm2.weight": "model-00001-of-00004.safetensors",
533
+ "vision_tower.vision_model.encoder.layers.21.mlp.fc1.bias": "model-00001-of-00004.safetensors",
534
+ "vision_tower.vision_model.encoder.layers.21.mlp.fc1.weight": "model-00001-of-00004.safetensors",
535
+ "vision_tower.vision_model.encoder.layers.21.mlp.fc2.bias": "model-00001-of-00004.safetensors",
536
+ "vision_tower.vision_model.encoder.layers.21.mlp.fc2.weight": "model-00001-of-00004.safetensors",
537
+ "vision_tower.vision_model.encoder.layers.21.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
538
+ "vision_tower.vision_model.encoder.layers.21.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
539
+ "vision_tower.vision_model.encoder.layers.21.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
540
+ "vision_tower.vision_model.encoder.layers.21.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
541
+ "vision_tower.vision_model.encoder.layers.21.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
542
+ "vision_tower.vision_model.encoder.layers.21.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
543
+ "vision_tower.vision_model.encoder.layers.21.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
544
+ "vision_tower.vision_model.encoder.layers.21.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
545
+ "vision_tower.vision_model.encoder.layers.22.layer_norm1.bias": "model-00001-of-00004.safetensors",
546
+ "vision_tower.vision_model.encoder.layers.22.layer_norm1.weight": "model-00001-of-00004.safetensors",
547
+ "vision_tower.vision_model.encoder.layers.22.layer_norm2.bias": "model-00001-of-00004.safetensors",
548
+ "vision_tower.vision_model.encoder.layers.22.layer_norm2.weight": "model-00001-of-00004.safetensors",
549
+ "vision_tower.vision_model.encoder.layers.22.mlp.fc1.bias": "model-00001-of-00004.safetensors",
550
+ "vision_tower.vision_model.encoder.layers.22.mlp.fc1.weight": "model-00001-of-00004.safetensors",
551
+ "vision_tower.vision_model.encoder.layers.22.mlp.fc2.bias": "model-00001-of-00004.safetensors",
552
+ "vision_tower.vision_model.encoder.layers.22.mlp.fc2.weight": "model-00001-of-00004.safetensors",
553
+ "vision_tower.vision_model.encoder.layers.22.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
554
+ "vision_tower.vision_model.encoder.layers.22.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
555
+ "vision_tower.vision_model.encoder.layers.22.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
556
+ "vision_tower.vision_model.encoder.layers.22.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
557
+ "vision_tower.vision_model.encoder.layers.22.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
558
+ "vision_tower.vision_model.encoder.layers.22.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
559
+ "vision_tower.vision_model.encoder.layers.22.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
560
+ "vision_tower.vision_model.encoder.layers.22.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
561
+ "vision_tower.vision_model.encoder.layers.23.layer_norm1.bias": "model-00001-of-00004.safetensors",
562
+ "vision_tower.vision_model.encoder.layers.23.layer_norm1.weight": "model-00001-of-00004.safetensors",
563
+ "vision_tower.vision_model.encoder.layers.23.layer_norm2.bias": "model-00001-of-00004.safetensors",
564
+ "vision_tower.vision_model.encoder.layers.23.layer_norm2.weight": "model-00001-of-00004.safetensors",
565
+ "vision_tower.vision_model.encoder.layers.23.mlp.fc1.bias": "model-00001-of-00004.safetensors",
566
+ "vision_tower.vision_model.encoder.layers.23.mlp.fc1.weight": "model-00001-of-00004.safetensors",
567
+ "vision_tower.vision_model.encoder.layers.23.mlp.fc2.bias": "model-00001-of-00004.safetensors",
568
+ "vision_tower.vision_model.encoder.layers.23.mlp.fc2.weight": "model-00001-of-00004.safetensors",
569
+ "vision_tower.vision_model.encoder.layers.23.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
570
+ "vision_tower.vision_model.encoder.layers.23.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
571
+ "vision_tower.vision_model.encoder.layers.23.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
572
+ "vision_tower.vision_model.encoder.layers.23.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
573
+ "vision_tower.vision_model.encoder.layers.23.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
574
+ "vision_tower.vision_model.encoder.layers.23.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
575
+ "vision_tower.vision_model.encoder.layers.23.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
576
+ "vision_tower.vision_model.encoder.layers.23.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
577
+ "vision_tower.vision_model.encoder.layers.3.layer_norm1.bias": "model-00001-of-00004.safetensors",
578
+ "vision_tower.vision_model.encoder.layers.3.layer_norm1.weight": "model-00001-of-00004.safetensors",
579
+ "vision_tower.vision_model.encoder.layers.3.layer_norm2.bias": "model-00001-of-00004.safetensors",
580
+ "vision_tower.vision_model.encoder.layers.3.layer_norm2.weight": "model-00001-of-00004.safetensors",
581
+ "vision_tower.vision_model.encoder.layers.3.mlp.fc1.bias": "model-00001-of-00004.safetensors",
582
+ "vision_tower.vision_model.encoder.layers.3.mlp.fc1.weight": "model-00001-of-00004.safetensors",
583
+ "vision_tower.vision_model.encoder.layers.3.mlp.fc2.bias": "model-00001-of-00004.safetensors",
584
+ "vision_tower.vision_model.encoder.layers.3.mlp.fc2.weight": "model-00001-of-00004.safetensors",
585
+ "vision_tower.vision_model.encoder.layers.3.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
586
+ "vision_tower.vision_model.encoder.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
587
+ "vision_tower.vision_model.encoder.layers.3.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
588
+ "vision_tower.vision_model.encoder.layers.3.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
589
+ "vision_tower.vision_model.encoder.layers.3.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
590
+ "vision_tower.vision_model.encoder.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
591
+ "vision_tower.vision_model.encoder.layers.3.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
592
+ "vision_tower.vision_model.encoder.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
593
+ "vision_tower.vision_model.encoder.layers.4.layer_norm1.bias": "model-00001-of-00004.safetensors",
594
+ "vision_tower.vision_model.encoder.layers.4.layer_norm1.weight": "model-00001-of-00004.safetensors",
595
+ "vision_tower.vision_model.encoder.layers.4.layer_norm2.bias": "model-00001-of-00004.safetensors",
596
+ "vision_tower.vision_model.encoder.layers.4.layer_norm2.weight": "model-00001-of-00004.safetensors",
597
+ "vision_tower.vision_model.encoder.layers.4.mlp.fc1.bias": "model-00001-of-00004.safetensors",
598
+ "vision_tower.vision_model.encoder.layers.4.mlp.fc1.weight": "model-00001-of-00004.safetensors",
599
+ "vision_tower.vision_model.encoder.layers.4.mlp.fc2.bias": "model-00001-of-00004.safetensors",
600
+ "vision_tower.vision_model.encoder.layers.4.mlp.fc2.weight": "model-00001-of-00004.safetensors",
601
+ "vision_tower.vision_model.encoder.layers.4.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
602
+ "vision_tower.vision_model.encoder.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
603
+ "vision_tower.vision_model.encoder.layers.4.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
604
+ "vision_tower.vision_model.encoder.layers.4.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
605
+ "vision_tower.vision_model.encoder.layers.4.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
606
+ "vision_tower.vision_model.encoder.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
607
+ "vision_tower.vision_model.encoder.layers.4.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
608
+ "vision_tower.vision_model.encoder.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
609
+ "vision_tower.vision_model.encoder.layers.5.layer_norm1.bias": "model-00001-of-00004.safetensors",
610
+ "vision_tower.vision_model.encoder.layers.5.layer_norm1.weight": "model-00001-of-00004.safetensors",
611
+ "vision_tower.vision_model.encoder.layers.5.layer_norm2.bias": "model-00001-of-00004.safetensors",
612
+ "vision_tower.vision_model.encoder.layers.5.layer_norm2.weight": "model-00001-of-00004.safetensors",
613
+ "vision_tower.vision_model.encoder.layers.5.mlp.fc1.bias": "model-00001-of-00004.safetensors",
614
+ "vision_tower.vision_model.encoder.layers.5.mlp.fc1.weight": "model-00001-of-00004.safetensors",
615
+ "vision_tower.vision_model.encoder.layers.5.mlp.fc2.bias": "model-00001-of-00004.safetensors",
616
+ "vision_tower.vision_model.encoder.layers.5.mlp.fc2.weight": "model-00001-of-00004.safetensors",
617
+ "vision_tower.vision_model.encoder.layers.5.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
618
+ "vision_tower.vision_model.encoder.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
619
+ "vision_tower.vision_model.encoder.layers.5.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
620
+ "vision_tower.vision_model.encoder.layers.5.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
621
+ "vision_tower.vision_model.encoder.layers.5.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
622
+ "vision_tower.vision_model.encoder.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
623
+ "vision_tower.vision_model.encoder.layers.5.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
624
+ "vision_tower.vision_model.encoder.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
625
+ "vision_tower.vision_model.encoder.layers.6.layer_norm1.bias": "model-00001-of-00004.safetensors",
626
+ "vision_tower.vision_model.encoder.layers.6.layer_norm1.weight": "model-00001-of-00004.safetensors",
627
+ "vision_tower.vision_model.encoder.layers.6.layer_norm2.bias": "model-00001-of-00004.safetensors",
628
+ "vision_tower.vision_model.encoder.layers.6.layer_norm2.weight": "model-00001-of-00004.safetensors",
629
+ "vision_tower.vision_model.encoder.layers.6.mlp.fc1.bias": "model-00001-of-00004.safetensors",
630
+ "vision_tower.vision_model.encoder.layers.6.mlp.fc1.weight": "model-00001-of-00004.safetensors",
631
+ "vision_tower.vision_model.encoder.layers.6.mlp.fc2.bias": "model-00001-of-00004.safetensors",
632
+ "vision_tower.vision_model.encoder.layers.6.mlp.fc2.weight": "model-00001-of-00004.safetensors",
633
+ "vision_tower.vision_model.encoder.layers.6.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
634
+ "vision_tower.vision_model.encoder.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
635
+ "vision_tower.vision_model.encoder.layers.6.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
636
+ "vision_tower.vision_model.encoder.layers.6.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
637
+ "vision_tower.vision_model.encoder.layers.6.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
638
+ "vision_tower.vision_model.encoder.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
639
+ "vision_tower.vision_model.encoder.layers.6.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
640
+ "vision_tower.vision_model.encoder.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
641
+ "vision_tower.vision_model.encoder.layers.7.layer_norm1.bias": "model-00001-of-00004.safetensors",
642
+ "vision_tower.vision_model.encoder.layers.7.layer_norm1.weight": "model-00001-of-00004.safetensors",
643
+ "vision_tower.vision_model.encoder.layers.7.layer_norm2.bias": "model-00001-of-00004.safetensors",
644
+ "vision_tower.vision_model.encoder.layers.7.layer_norm2.weight": "model-00001-of-00004.safetensors",
645
+ "vision_tower.vision_model.encoder.layers.7.mlp.fc1.bias": "model-00001-of-00004.safetensors",
646
+ "vision_tower.vision_model.encoder.layers.7.mlp.fc1.weight": "model-00001-of-00004.safetensors",
647
+ "vision_tower.vision_model.encoder.layers.7.mlp.fc2.bias": "model-00001-of-00004.safetensors",
648
+ "vision_tower.vision_model.encoder.layers.7.mlp.fc2.weight": "model-00001-of-00004.safetensors",
649
+ "vision_tower.vision_model.encoder.layers.7.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
650
+ "vision_tower.vision_model.encoder.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
651
+ "vision_tower.vision_model.encoder.layers.7.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
652
+ "vision_tower.vision_model.encoder.layers.7.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
653
+ "vision_tower.vision_model.encoder.layers.7.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
654
+ "vision_tower.vision_model.encoder.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
655
+ "vision_tower.vision_model.encoder.layers.7.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
656
+ "vision_tower.vision_model.encoder.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
657
+ "vision_tower.vision_model.encoder.layers.8.layer_norm1.bias": "model-00001-of-00004.safetensors",
658
+ "vision_tower.vision_model.encoder.layers.8.layer_norm1.weight": "model-00001-of-00004.safetensors",
659
+ "vision_tower.vision_model.encoder.layers.8.layer_norm2.bias": "model-00001-of-00004.safetensors",
660
+ "vision_tower.vision_model.encoder.layers.8.layer_norm2.weight": "model-00001-of-00004.safetensors",
661
+ "vision_tower.vision_model.encoder.layers.8.mlp.fc1.bias": "model-00001-of-00004.safetensors",
662
+ "vision_tower.vision_model.encoder.layers.8.mlp.fc1.weight": "model-00001-of-00004.safetensors",
663
+ "vision_tower.vision_model.encoder.layers.8.mlp.fc2.bias": "model-00001-of-00004.safetensors",
664
+ "vision_tower.vision_model.encoder.layers.8.mlp.fc2.weight": "model-00001-of-00004.safetensors",
665
+ "vision_tower.vision_model.encoder.layers.8.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
666
+ "vision_tower.vision_model.encoder.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
667
+ "vision_tower.vision_model.encoder.layers.8.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
668
+ "vision_tower.vision_model.encoder.layers.8.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
669
+ "vision_tower.vision_model.encoder.layers.8.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
670
+ "vision_tower.vision_model.encoder.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
671
+ "vision_tower.vision_model.encoder.layers.8.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
672
+ "vision_tower.vision_model.encoder.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
673
+ "vision_tower.vision_model.encoder.layers.9.layer_norm1.bias": "model-00001-of-00004.safetensors",
674
+ "vision_tower.vision_model.encoder.layers.9.layer_norm1.weight": "model-00001-of-00004.safetensors",
675
+ "vision_tower.vision_model.encoder.layers.9.layer_norm2.bias": "model-00001-of-00004.safetensors",
676
+ "vision_tower.vision_model.encoder.layers.9.layer_norm2.weight": "model-00001-of-00004.safetensors",
677
+ "vision_tower.vision_model.encoder.layers.9.mlp.fc1.bias": "model-00001-of-00004.safetensors",
678
+ "vision_tower.vision_model.encoder.layers.9.mlp.fc1.weight": "model-00001-of-00004.safetensors",
679
+ "vision_tower.vision_model.encoder.layers.9.mlp.fc2.bias": "model-00001-of-00004.safetensors",
680
+ "vision_tower.vision_model.encoder.layers.9.mlp.fc2.weight": "model-00001-of-00004.safetensors",
681
+ "vision_tower.vision_model.encoder.layers.9.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
682
+ "vision_tower.vision_model.encoder.layers.9.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
683
+ "vision_tower.vision_model.encoder.layers.9.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
684
+ "vision_tower.vision_model.encoder.layers.9.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
685
+ "vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
686
+ "vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
687
+ "vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
688
+ "vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
689
+ "vision_tower.vision_model.post_layernorm.bias": "model-00001-of-00004.safetensors",
690
+ "vision_tower.vision_model.post_layernorm.weight": "model-00001-of-00004.safetensors",
691
+ "vision_tower.vision_model.pre_layrnorm.bias": "model-00001-of-00004.safetensors",
692
+ "vision_tower.vision_model.pre_layrnorm.weight": "model-00001-of-00004.safetensors"
693
+ }
694
+ }
checkpoint-300/preprocessor_config.json ADDED
@@ -0,0 +1,52 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "aspect_ratio_setting": "anyres",
3
+ "crop_size": {
4
+ "height": 336,
5
+ "width": 336
6
+ },
7
+ "do_center_crop": true,
8
+ "do_convert_rgb": true,
9
+ "do_normalize": true,
10
+ "do_pad": true,
11
+ "do_rescale": true,
12
+ "do_resize": true,
13
+ "image_grid_pinpoints": [
14
+ [
15
+ 336,
16
+ 672
17
+ ],
18
+ [
19
+ 672,
20
+ 336
21
+ ],
22
+ [
23
+ 672,
24
+ 672
25
+ ],
26
+ [
27
+ 1008,
28
+ 336
29
+ ],
30
+ [
31
+ 336,
32
+ 1008
33
+ ]
34
+ ],
35
+ "image_mean": [
36
+ 0.48145466,
37
+ 0.4578275,
38
+ 0.40821073
39
+ ],
40
+ "image_processor_type": "LlavaNextImageProcessor",
41
+ "image_std": [
42
+ 0.26862954,
43
+ 0.26130258,
44
+ 0.27577711
45
+ ],
46
+ "processor_class": "LlavaNextProcessor",
47
+ "resample": 3,
48
+ "rescale_factor": 0.00392156862745098,
49
+ "size": {
50
+ "shortest_edge": 336
51
+ }
52
+ }
checkpoint-300/special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "<pad>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "<unk>",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
checkpoint-300/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-300/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
3
+ size 493443
checkpoint-300/tokenizer_config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": null,
5
+ "added_tokens_decoder": {
6
+ "0": {
7
+ "content": "<unk>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": true
13
+ },
14
+ "1": {
15
+ "content": "<s>",
16
+ "lstrip": false,
17
+ "normalized": false,
18
+ "rstrip": false,
19
+ "single_word": false,
20
+ "special": true
21
+ },
22
+ "2": {
23
+ "content": "</s>",
24
+ "lstrip": false,
25
+ "normalized": false,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": true
29
+ },
30
+ "32000": {
31
+ "content": "<image>",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false,
36
+ "special": true
37
+ },
38
+ "32001": {
39
+ "content": "<pad>",
40
+ "lstrip": false,
41
+ "normalized": false,
42
+ "rstrip": false,
43
+ "single_word": false,
44
+ "special": true
45
+ }
46
+ },
47
+ "additional_special_tokens": [],
48
+ "bos_token": "<s>",
49
+ "chat_template": "{{ '<s>' }}{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% endif %}{% if system_message is defined %}{{ system_message }}{% endif %}{% for message in loop_messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '`[INST] `' + content + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ content + '</s>' }}{% endif %}{% endfor %}",
50
+ "clean_up_tokenization_spaces": false,
51
+ "eos_token": "</s>",
52
+ "extra_special_tokens": {
53
+ "image_token": "<image>"
54
+ },
55
+ "image_token": "<image>",
56
+ "legacy": true,
57
+ "max_length": null,
58
+ "model_max_length": 1000000000000000019884624838656,
59
+ "pad_to_multiple_of": null,
60
+ "pad_token": "<pad>",
61
+ "pad_token_type_id": 0,
62
+ "padding_side": "right",
63
+ "processor_class": "LlavaNextProcessor",
64
+ "sp_model_kwargs": {},
65
+ "spaces_between_special_tokens": false,
66
+ "split_special_tokens": false,
67
+ "tokenizer_class": "LlamaTokenizer",
68
+ "unk_token": "<unk>",
69
+ "use_default_system_prompt": false
70
+ }
checkpoint-300/trainer_state.json ADDED
@@ -0,0 +1,1029 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.0256410256410255,
5
+ "eval_steps": 50,
6
+ "global_step": 300,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.017094017094017096,
13
+ "grad_norm": 35.00202204303521,
14
+ "learning_rate": 5e-07,
15
+ "logits/chosen": -2.7455849647521973,
16
+ "logits/rejected": -2.7442612648010254,
17
+ "logps/chosen": -164.2725830078125,
18
+ "logps/rejected": -170.57113647460938,
19
+ "loss": 0.6934,
20
+ "rewards/accuracies": 0.23749999701976776,
21
+ "rewards/chosen": 0.0026612328365445137,
22
+ "rewards/margins": -0.001539617427624762,
23
+ "rewards/rejected": 0.004200850613415241,
24
+ "step": 5
25
+ },
26
+ {
27
+ "epoch": 0.03418803418803419,
28
+ "grad_norm": 36.29266486314593,
29
+ "learning_rate": 1e-06,
30
+ "logits/chosen": -2.709902763366699,
31
+ "logits/rejected": -2.7155404090881348,
32
+ "logps/chosen": -171.80032348632812,
33
+ "logps/rejected": -165.20169067382812,
34
+ "loss": 0.6879,
35
+ "rewards/accuracies": 0.5062500238418579,
36
+ "rewards/chosen": 0.012009668163955212,
37
+ "rewards/margins": 0.0021203968208283186,
38
+ "rewards/rejected": 0.009889272041618824,
39
+ "step": 10
40
+ },
41
+ {
42
+ "epoch": 0.05128205128205128,
43
+ "grad_norm": 33.83921269470837,
44
+ "learning_rate": 9.999177507263144e-07,
45
+ "logits/chosen": -2.6502068042755127,
46
+ "logits/rejected": -2.628007411956787,
47
+ "logps/chosen": -174.082275390625,
48
+ "logps/rejected": -174.13429260253906,
49
+ "loss": 0.6698,
50
+ "rewards/accuracies": 0.643750011920929,
51
+ "rewards/chosen": 0.23495244979858398,
52
+ "rewards/margins": 0.1125468835234642,
53
+ "rewards/rejected": 0.12240554392337799,
54
+ "step": 15
55
+ },
56
+ {
57
+ "epoch": 0.06837606837606838,
58
+ "grad_norm": 34.14427373918799,
59
+ "learning_rate": 9.996710299650301e-07,
60
+ "logits/chosen": -2.473665714263916,
61
+ "logits/rejected": -2.4469008445739746,
62
+ "logps/chosen": -158.2163848876953,
63
+ "logps/rejected": -158.0710906982422,
64
+ "loss": 0.661,
65
+ "rewards/accuracies": 0.581250011920929,
66
+ "rewards/chosen": 0.4233472943305969,
67
+ "rewards/margins": 0.1434161365032196,
68
+ "rewards/rejected": 0.2799311578273773,
69
+ "step": 20
70
+ },
71
+ {
72
+ "epoch": 0.08547008547008547,
73
+ "grad_norm": 33.2696083475879,
74
+ "learning_rate": 9.992599188865604e-07,
75
+ "logits/chosen": -2.314507007598877,
76
+ "logits/rejected": -2.3168132305145264,
77
+ "logps/chosen": -150.67019653320312,
78
+ "logps/rejected": -156.8417510986328,
79
+ "loss": 0.6501,
80
+ "rewards/accuracies": 0.543749988079071,
81
+ "rewards/chosen": 0.4975205063819885,
82
+ "rewards/margins": 0.15743504464626312,
83
+ "rewards/rejected": 0.3400854766368866,
84
+ "step": 25
85
+ },
86
+ {
87
+ "epoch": 0.10256410256410256,
88
+ "grad_norm": 34.42253361988952,
89
+ "learning_rate": 9.98684552745256e-07,
90
+ "logits/chosen": -2.243194103240967,
91
+ "logits/rejected": -2.251340866088867,
92
+ "logps/chosen": -161.2266845703125,
93
+ "logps/rejected": -161.32298278808594,
94
+ "loss": 0.6289,
95
+ "rewards/accuracies": 0.6187499761581421,
96
+ "rewards/chosen": 0.4243805408477783,
97
+ "rewards/margins": 0.2635195851325989,
98
+ "rewards/rejected": 0.16086098551750183,
99
+ "step": 30
100
+ },
101
+ {
102
+ "epoch": 0.11965811965811966,
103
+ "grad_norm": 31.414296706456245,
104
+ "learning_rate": 9.979451208349055e-07,
105
+ "logits/chosen": -2.30315899848938,
106
+ "logits/rejected": -2.289762496948242,
107
+ "logps/chosen": -171.71713256835938,
108
+ "logps/rejected": -174.50900268554688,
109
+ "loss": 0.6296,
110
+ "rewards/accuracies": 0.65625,
111
+ "rewards/chosen": -0.019384615123271942,
112
+ "rewards/margins": 0.318477988243103,
113
+ "rewards/rejected": -0.3378625512123108,
114
+ "step": 35
115
+ },
116
+ {
117
+ "epoch": 0.13675213675213677,
118
+ "grad_norm": 32.071830655862556,
119
+ "learning_rate": 9.970418664264595e-07,
120
+ "logits/chosen": -2.3935599327087402,
121
+ "logits/rejected": -2.3812546730041504,
122
+ "logps/chosen": -171.0698699951172,
123
+ "logps/rejected": -176.58578491210938,
124
+ "loss": 0.5991,
125
+ "rewards/accuracies": 0.675000011920929,
126
+ "rewards/chosen": -0.26089853048324585,
127
+ "rewards/margins": 0.5235068202018738,
128
+ "rewards/rejected": -0.7844053506851196,
129
+ "step": 40
130
+ },
131
+ {
132
+ "epoch": 0.15384615384615385,
133
+ "grad_norm": 36.19466541168301,
134
+ "learning_rate": 9.95975086687994e-07,
135
+ "logits/chosen": -2.4914021492004395,
136
+ "logits/rejected": -2.4973323345184326,
137
+ "logps/chosen": -163.68099975585938,
138
+ "logps/rejected": -167.174072265625,
139
+ "loss": 0.6141,
140
+ "rewards/accuracies": 0.7250000238418579,
141
+ "rewards/chosen": -0.2962096929550171,
142
+ "rewards/margins": 0.4588828682899475,
143
+ "rewards/rejected": -0.7550925016403198,
144
+ "step": 45
145
+ },
146
+ {
147
+ "epoch": 0.17094017094017094,
148
+ "grad_norm": 31.16276115760231,
149
+ "learning_rate": 9.947451325869439e-07,
150
+ "logits/chosen": -2.5575203895568848,
151
+ "logits/rejected": -2.557717800140381,
152
+ "logps/chosen": -172.04318237304688,
153
+ "logps/rejected": -177.67672729492188,
154
+ "loss": 0.5777,
155
+ "rewards/accuracies": 0.731249988079071,
156
+ "rewards/chosen": -0.2069791853427887,
157
+ "rewards/margins": 0.6018465757369995,
158
+ "rewards/rejected": -0.808825671672821,
159
+ "step": 50
160
+ },
161
+ {
162
+ "epoch": 0.17094017094017094,
163
+ "eval_logits/chosen": -2.5221025943756104,
164
+ "eval_logits/rejected": -2.5152711868286133,
165
+ "eval_logps/chosen": -163.01820373535156,
166
+ "eval_logps/rejected": -169.54832458496094,
167
+ "eval_loss": 0.5812540650367737,
168
+ "eval_rewards/accuracies": 0.6682692170143127,
169
+ "eval_rewards/chosen": -0.45408713817596436,
170
+ "eval_rewards/margins": 0.6127156615257263,
171
+ "eval_rewards/rejected": -1.0668028593063354,
172
+ "eval_runtime": 510.3361,
173
+ "eval_samples_per_second": 16.291,
174
+ "eval_steps_per_second": 0.255,
175
+ "step": 50
176
+ },
177
+ {
178
+ "epoch": 0.18803418803418803,
179
+ "grad_norm": 31.575578721339145,
180
+ "learning_rate": 9.933524087746347e-07,
181
+ "logits/chosen": -2.490377426147461,
182
+ "logits/rejected": -2.4825081825256348,
183
+ "logps/chosen": -168.06161499023438,
184
+ "logps/rejected": -175.0494384765625,
185
+ "loss": 0.5706,
186
+ "rewards/accuracies": 0.737500011920929,
187
+ "rewards/chosen": -0.5060762763023376,
188
+ "rewards/margins": 0.7589826583862305,
189
+ "rewards/rejected": -1.2650587558746338,
190
+ "step": 55
191
+ },
192
+ {
193
+ "epoch": 0.20512820512820512,
194
+ "grad_norm": 30.171745273288415,
195
+ "learning_rate": 9.917973734531549e-07,
196
+ "logits/chosen": -2.48228120803833,
197
+ "logits/rejected": -2.4833157062530518,
198
+ "logps/chosen": -159.47142028808594,
199
+ "logps/rejected": -170.63671875,
200
+ "loss": 0.5753,
201
+ "rewards/accuracies": 0.675000011920929,
202
+ "rewards/chosen": -0.35752761363983154,
203
+ "rewards/margins": 0.5991309881210327,
204
+ "rewards/rejected": -0.9566585421562195,
205
+ "step": 60
206
+ },
207
+ {
208
+ "epoch": 0.2222222222222222,
209
+ "grad_norm": 32.13878319029882,
210
+ "learning_rate": 9.90080538224607e-07,
211
+ "logits/chosen": -2.585407018661499,
212
+ "logits/rejected": -2.5767769813537598,
213
+ "logps/chosen": -157.43936157226562,
214
+ "logps/rejected": -166.13589477539062,
215
+ "loss": 0.566,
216
+ "rewards/accuracies": 0.6937500238418579,
217
+ "rewards/chosen": -0.02057185396552086,
218
+ "rewards/margins": 0.47568243741989136,
219
+ "rewards/rejected": -0.4962543547153473,
220
+ "step": 65
221
+ },
222
+ {
223
+ "epoch": 0.23931623931623933,
224
+ "grad_norm": 29.494674721856043,
225
+ "learning_rate": 9.882024679227938e-07,
226
+ "logits/chosen": -2.6504979133605957,
227
+ "logits/rejected": -2.6398470401763916,
228
+ "logps/chosen": -178.0801239013672,
229
+ "logps/rejected": -179.46328735351562,
230
+ "loss": 0.5444,
231
+ "rewards/accuracies": 0.706250011920929,
232
+ "rewards/chosen": -0.43436694145202637,
233
+ "rewards/margins": 0.8427752256393433,
234
+ "rewards/rejected": -1.27714204788208,
235
+ "step": 70
236
+ },
237
+ {
238
+ "epoch": 0.2564102564102564,
239
+ "grad_norm": 28.856733948308104,
240
+ "learning_rate": 9.861637804273881e-07,
241
+ "logits/chosen": -2.660489082336426,
242
+ "logits/rejected": -2.655539035797119,
243
+ "logps/chosen": -162.1233673095703,
244
+ "logps/rejected": -170.16131591796875,
245
+ "loss": 0.5568,
246
+ "rewards/accuracies": 0.699999988079071,
247
+ "rewards/chosen": -0.4032784402370453,
248
+ "rewards/margins": 0.6959114074707031,
249
+ "rewards/rejected": -1.0991899967193604,
250
+ "step": 75
251
+ },
252
+ {
253
+ "epoch": 0.27350427350427353,
254
+ "grad_norm": 26.646061534818323,
255
+ "learning_rate": 9.83965146460653e-07,
256
+ "logits/chosen": -2.6391615867614746,
257
+ "logits/rejected": -2.628577709197998,
258
+ "logps/chosen": -168.58099365234375,
259
+ "logps/rejected": -179.22805786132812,
260
+ "loss": 0.5448,
261
+ "rewards/accuracies": 0.6812499761581421,
262
+ "rewards/chosen": -0.6665827035903931,
263
+ "rewards/margins": 0.8240470886230469,
264
+ "rewards/rejected": -1.4906299114227295,
265
+ "step": 80
266
+ },
267
+ {
268
+ "epoch": 0.2905982905982906,
269
+ "grad_norm": 36.04159750418885,
270
+ "learning_rate": 9.816072893667758e-07,
271
+ "logits/chosen": -2.6322970390319824,
272
+ "logits/rejected": -2.6053385734558105,
273
+ "logps/chosen": -174.82640075683594,
274
+ "logps/rejected": -186.0735626220703,
275
+ "loss": 0.5579,
276
+ "rewards/accuracies": 0.7562500238418579,
277
+ "rewards/chosen": -1.0639268159866333,
278
+ "rewards/margins": 1.0258175134658813,
279
+ "rewards/rejected": -2.0897443294525146,
280
+ "step": 85
281
+ },
282
+ {
283
+ "epoch": 0.3076923076923077,
284
+ "grad_norm": 26.922939193632168,
285
+ "learning_rate": 9.790909848738904e-07,
286
+ "logits/chosen": -2.60801362991333,
287
+ "logits/rejected": -2.6101624965667725,
288
+ "logps/chosen": -176.20538330078125,
289
+ "logps/rejected": -184.7812957763672,
290
+ "loss": 0.5215,
291
+ "rewards/accuracies": 0.6312500238418579,
292
+ "rewards/chosen": -0.9929834604263306,
293
+ "rewards/margins": 0.8646324276924133,
294
+ "rewards/rejected": -1.8576160669326782,
295
+ "step": 90
296
+ },
297
+ {
298
+ "epoch": 0.3247863247863248,
299
+ "grad_norm": 30.3564450245371,
300
+ "learning_rate": 9.764170608388647e-07,
301
+ "logits/chosen": -2.6054036617279053,
302
+ "logits/rejected": -2.5733799934387207,
303
+ "logps/chosen": -168.037109375,
304
+ "logps/rejected": -174.51144409179688,
305
+ "loss": 0.5197,
306
+ "rewards/accuracies": 0.762499988079071,
307
+ "rewards/chosen": -0.6652337312698364,
308
+ "rewards/margins": 1.060430884361267,
309
+ "rewards/rejected": -1.725664734840393,
310
+ "step": 95
311
+ },
312
+ {
313
+ "epoch": 0.3418803418803419,
314
+ "grad_norm": 28.936164680674203,
315
+ "learning_rate": 9.735863969749371e-07,
316
+ "logits/chosen": -2.5255179405212402,
317
+ "logits/rejected": -2.4874520301818848,
318
+ "logps/chosen": -177.73861694335938,
319
+ "logps/rejected": -189.82369995117188,
320
+ "loss": 0.4982,
321
+ "rewards/accuracies": 0.706250011920929,
322
+ "rewards/chosen": -0.8511013984680176,
323
+ "rewards/margins": 1.1354777812957764,
324
+ "rewards/rejected": -1.986579179763794,
325
+ "step": 100
326
+ },
327
+ {
328
+ "epoch": 0.3418803418803419,
329
+ "eval_logits/chosen": -2.484687328338623,
330
+ "eval_logits/rejected": -2.460559368133545,
331
+ "eval_logps/chosen": -168.28323364257812,
332
+ "eval_logps/rejected": -180.8539276123047,
333
+ "eval_loss": 0.5161151885986328,
334
+ "eval_rewards/accuracies": 0.7211538553237915,
335
+ "eval_rewards/chosen": -0.9805887937545776,
336
+ "eval_rewards/margins": 1.2167747020721436,
337
+ "eval_rewards/rejected": -2.1973636150360107,
338
+ "eval_runtime": 510.3447,
339
+ "eval_samples_per_second": 16.291,
340
+ "eval_steps_per_second": 0.255,
341
+ "step": 100
342
+ },
343
+ {
344
+ "epoch": 0.358974358974359,
345
+ "grad_norm": 31.089971589067016,
346
+ "learning_rate": 9.705999245622956e-07,
347
+ "logits/chosen": -2.4702706336975098,
348
+ "logits/rejected": -2.4523651599884033,
349
+ "logps/chosen": -170.59246826171875,
350
+ "logps/rejected": -182.99813842773438,
351
+ "loss": 0.4991,
352
+ "rewards/accuracies": 0.6937500238418579,
353
+ "rewards/chosen": -0.8999192118644714,
354
+ "rewards/margins": 0.8702341318130493,
355
+ "rewards/rejected": -1.770153284072876,
356
+ "step": 105
357
+ },
358
+ {
359
+ "epoch": 0.37606837606837606,
360
+ "grad_norm": 27.339023914835686,
361
+ "learning_rate": 9.674586261416873e-07,
362
+ "logits/chosen": -2.4866347312927246,
363
+ "logits/rejected": -2.4518179893493652,
364
+ "logps/chosen": -179.46290588378906,
365
+ "logps/rejected": -188.7920379638672,
366
+ "loss": 0.5213,
367
+ "rewards/accuracies": 0.706250011920929,
368
+ "rewards/chosen": -0.6938365697860718,
369
+ "rewards/margins": 1.0765600204467773,
370
+ "rewards/rejected": -1.7703965902328491,
371
+ "step": 110
372
+ },
373
+ {
374
+ "epoch": 0.39316239316239315,
375
+ "grad_norm": 31.312902469600562,
376
+ "learning_rate": 9.641635351911664e-07,
377
+ "logits/chosen": -2.4456398487091064,
378
+ "logits/rejected": -2.426159381866455,
379
+ "logps/chosen": -170.3855438232422,
380
+ "logps/rejected": -181.9676513671875,
381
+ "loss": 0.4823,
382
+ "rewards/accuracies": 0.71875,
383
+ "rewards/chosen": -0.8490931391716003,
384
+ "rewards/margins": 1.2224478721618652,
385
+ "rewards/rejected": -2.0715408325195312,
386
+ "step": 115
387
+ },
388
+ {
389
+ "epoch": 0.41025641025641024,
390
+ "grad_norm": 25.966469642807997,
391
+ "learning_rate": 9.607157357860821e-07,
392
+ "logits/chosen": -2.4072113037109375,
393
+ "logits/rejected": -2.3874144554138184,
394
+ "logps/chosen": -187.41197204589844,
395
+ "logps/rejected": -201.69454956054688,
396
+ "loss": 0.5037,
397
+ "rewards/accuracies": 0.7437499761581421,
398
+ "rewards/chosen": -1.0798847675323486,
399
+ "rewards/margins": 1.3365159034729004,
400
+ "rewards/rejected": -2.41640043258667,
401
+ "step": 120
402
+ },
403
+ {
404
+ "epoch": 0.42735042735042733,
405
+ "grad_norm": 32.18242375190423,
406
+ "learning_rate": 9.571163622424225e-07,
407
+ "logits/chosen": -2.2766659259796143,
408
+ "logits/rejected": -2.252072811126709,
409
+ "logps/chosen": -174.78514099121094,
410
+ "logps/rejected": -187.40646362304688,
411
+ "loss": 0.5019,
412
+ "rewards/accuracies": 0.706250011920929,
413
+ "rewards/chosen": -1.5247443914413452,
414
+ "rewards/margins": 1.2177503108978271,
415
+ "rewards/rejected": -2.742494821548462,
416
+ "step": 125
417
+ },
418
+ {
419
+ "epoch": 0.4444444444444444,
420
+ "grad_norm": 30.579550576640443,
421
+ "learning_rate": 9.533665987436261e-07,
422
+ "logits/chosen": -2.182610034942627,
423
+ "logits/rejected": -2.128113269805908,
424
+ "logps/chosen": -178.1033477783203,
425
+ "logps/rejected": -197.4458465576172,
426
+ "loss": 0.4957,
427
+ "rewards/accuracies": 0.6875,
428
+ "rewards/chosen": -1.5623412132263184,
429
+ "rewards/margins": 1.2608497142791748,
430
+ "rewards/rejected": -2.823190689086914,
431
+ "step": 130
432
+ },
433
+ {
434
+ "epoch": 0.46153846153846156,
435
+ "grad_norm": 29.287644373971865,
436
+ "learning_rate": 9.494676789509899e-07,
437
+ "logits/chosen": -2.1067867279052734,
438
+ "logits/rejected": -2.0683400630950928,
439
+ "logps/chosen": -176.67918395996094,
440
+ "logps/rejected": -193.65371704101562,
441
+ "loss": 0.4939,
442
+ "rewards/accuracies": 0.762499988079071,
443
+ "rewards/chosen": -1.1053364276885986,
444
+ "rewards/margins": 1.3829355239868164,
445
+ "rewards/rejected": -2.488272190093994,
446
+ "step": 135
447
+ },
448
+ {
449
+ "epoch": 0.47863247863247865,
450
+ "grad_norm": 27.563555703636343,
451
+ "learning_rate": 9.454208855977985e-07,
452
+ "logits/chosen": -2.0855822563171387,
453
+ "logits/rejected": -2.013296127319336,
454
+ "logps/chosen": -178.40390014648438,
455
+ "logps/rejected": -196.03305053710938,
456
+ "loss": 0.4715,
457
+ "rewards/accuracies": 0.737500011920929,
458
+ "rewards/chosen": -1.443866491317749,
459
+ "rewards/margins": 1.600778341293335,
460
+ "rewards/rejected": -3.044644832611084,
461
+ "step": 140
462
+ },
463
+ {
464
+ "epoch": 0.49572649572649574,
465
+ "grad_norm": 30.234814125811326,
466
+ "learning_rate": 9.41227550067308e-07,
467
+ "logits/chosen": -2.0734238624572754,
468
+ "logits/rejected": -2.0634400844573975,
469
+ "logps/chosen": -179.51080322265625,
470
+ "logps/rejected": -191.87046813964844,
471
+ "loss": 0.4798,
472
+ "rewards/accuracies": 0.7749999761581421,
473
+ "rewards/chosen": -1.6011661291122437,
474
+ "rewards/margins": 1.445229172706604,
475
+ "rewards/rejected": -3.0463955402374268,
476
+ "step": 145
477
+ },
478
+ {
479
+ "epoch": 0.5128205128205128,
480
+ "grad_norm": 31.371346339775513,
481
+ "learning_rate": 9.36889051954725e-07,
482
+ "logits/chosen": -2.127821683883667,
483
+ "logits/rejected": -2.080082416534424,
484
+ "logps/chosen": -180.66383361816406,
485
+ "logps/rejected": -196.1031494140625,
486
+ "loss": 0.4954,
487
+ "rewards/accuracies": 0.7437499761581421,
488
+ "rewards/chosen": -1.6335647106170654,
489
+ "rewards/margins": 1.5422546863555908,
490
+ "rewards/rejected": -3.1758196353912354,
491
+ "step": 150
492
+ },
493
+ {
494
+ "epoch": 0.5128205128205128,
495
+ "eval_logits/chosen": -2.1472573280334473,
496
+ "eval_logits/rejected": -2.0990829467773438,
497
+ "eval_logps/chosen": -173.8290557861328,
498
+ "eval_logps/rejected": -191.683349609375,
499
+ "eval_loss": 0.47699737548828125,
500
+ "eval_rewards/accuracies": 0.754807710647583,
501
+ "eval_rewards/chosen": -1.5351712703704834,
502
+ "eval_rewards/margins": 1.7451337575912476,
503
+ "eval_rewards/rejected": -3.2803049087524414,
504
+ "eval_runtime": 510.7048,
505
+ "eval_samples_per_second": 16.279,
506
+ "eval_steps_per_second": 0.255,
507
+ "step": 150
508
+ },
509
+ {
510
+ "epoch": 0.5299145299145299,
511
+ "grad_norm": 27.790777356361556,
512
+ "learning_rate": 9.324068186133245e-07,
513
+ "logits/chosen": -2.1372084617614746,
514
+ "logits/rejected": -2.124948024749756,
515
+ "logps/chosen": -172.3369598388672,
516
+ "logps/rejected": -186.5850372314453,
517
+ "loss": 0.4644,
518
+ "rewards/accuracies": 0.7875000238418579,
519
+ "rewards/chosen": -1.3583369255065918,
520
+ "rewards/margins": 1.7439367771148682,
521
+ "rewards/rejected": -3.102273464202881,
522
+ "step": 155
523
+ },
524
+ {
525
+ "epoch": 0.5470085470085471,
526
+ "grad_norm": 27.612583401785376,
527
+ "learning_rate": 9.277823246848536e-07,
528
+ "logits/chosen": -2.2635793685913086,
529
+ "logits/rejected": -2.2123026847839355,
530
+ "logps/chosen": -186.25137329101562,
531
+ "logps/rejected": -196.69564819335938,
532
+ "loss": 0.4547,
533
+ "rewards/accuracies": 0.71875,
534
+ "rewards/chosen": -1.2192834615707397,
535
+ "rewards/margins": 1.371063470840454,
536
+ "rewards/rejected": -2.5903468132019043,
537
+ "step": 160
538
+ },
539
+ {
540
+ "epoch": 0.5641025641025641,
541
+ "grad_norm": 28.168886287584876,
542
+ "learning_rate": 9.230170916143793e-07,
543
+ "logits/chosen": -2.3309006690979004,
544
+ "logits/rejected": -2.2978808879852295,
545
+ "logps/chosen": -174.7559814453125,
546
+ "logps/rejected": -195.68280029296875,
547
+ "loss": 0.4967,
548
+ "rewards/accuracies": 0.75,
549
+ "rewards/chosen": -1.0855658054351807,
550
+ "rewards/margins": 1.6249233484268188,
551
+ "rewards/rejected": -2.710489273071289,
552
+ "step": 165
553
+ },
554
+ {
555
+ "epoch": 0.5811965811965812,
556
+ "grad_norm": 28.93959851544435,
557
+ "learning_rate": 9.181126871497378e-07,
558
+ "logits/chosen": -2.376833915710449,
559
+ "logits/rejected": -2.340681552886963,
560
+ "logps/chosen": -175.3675537109375,
561
+ "logps/rejected": -194.9619903564453,
562
+ "loss": 0.4651,
563
+ "rewards/accuracies": 0.7875000238418579,
564
+ "rewards/chosen": -0.9624043703079224,
565
+ "rewards/margins": 1.7745708227157593,
566
+ "rewards/rejected": -2.7369751930236816,
567
+ "step": 170
568
+ },
569
+ {
570
+ "epoch": 0.5982905982905983,
571
+ "grad_norm": 30.43477724579486,
572
+ "learning_rate": 9.130707248257491e-07,
573
+ "logits/chosen": -2.458378553390503,
574
+ "logits/rejected": -2.4171223640441895,
575
+ "logps/chosen": -168.79849243164062,
576
+ "logps/rejected": -178.6556396484375,
577
+ "loss": 0.4728,
578
+ "rewards/accuracies": 0.75,
579
+ "rewards/chosen": -0.9254748225212097,
580
+ "rewards/margins": 1.5751961469650269,
581
+ "rewards/rejected": -2.500671148300171,
582
+ "step": 175
583
+ },
584
+ {
585
+ "epoch": 0.6153846153846154,
586
+ "grad_norm": 25.220318056395065,
587
+ "learning_rate": 9.078928634333698e-07,
588
+ "logits/chosen": -2.4454641342163086,
589
+ "logits/rejected": -2.4170265197753906,
590
+ "logps/chosen": -181.41317749023438,
591
+ "logps/rejected": -199.88668823242188,
592
+ "loss": 0.4526,
593
+ "rewards/accuracies": 0.824999988079071,
594
+ "rewards/chosen": -0.84205561876297,
595
+ "rewards/margins": 1.7803510427474976,
596
+ "rewards/rejected": -2.622406482696533,
597
+ "step": 180
598
+ },
599
+ {
600
+ "epoch": 0.6324786324786325,
601
+ "grad_norm": 29.414031929374275,
602
+ "learning_rate": 9.025808064739549e-07,
603
+ "logits/chosen": -2.4103400707244873,
604
+ "logits/rejected": -2.370731830596924,
605
+ "logps/chosen": -178.70916748046875,
606
+ "logps/rejected": -193.0004119873047,
607
+ "loss": 0.4891,
608
+ "rewards/accuracies": 0.768750011920929,
609
+ "rewards/chosen": -1.174070119857788,
610
+ "rewards/margins": 1.535239338874817,
611
+ "rewards/rejected": -2.7093093395233154,
612
+ "step": 185
613
+ },
614
+ {
615
+ "epoch": 0.6495726495726496,
616
+ "grad_norm": 26.0372223221703,
617
+ "learning_rate": 8.971363015988113e-07,
618
+ "logits/chosen": -2.3428735733032227,
619
+ "logits/rejected": -2.2986531257629395,
620
+ "logps/chosen": -173.8651580810547,
621
+ "logps/rejected": -194.9317626953125,
622
+ "loss": 0.4643,
623
+ "rewards/accuracies": 0.78125,
624
+ "rewards/chosen": -1.1425771713256836,
625
+ "rewards/margins": 1.611919641494751,
626
+ "rewards/rejected": -2.7544968128204346,
627
+ "step": 190
628
+ },
629
+ {
630
+ "epoch": 0.6666666666666666,
631
+ "grad_norm": 33.87434178682573,
632
+ "learning_rate": 8.91561140034225e-07,
633
+ "logits/chosen": -2.2664923667907715,
634
+ "logits/rejected": -2.2088184356689453,
635
+ "logps/chosen": -172.7240753173828,
636
+ "logps/rejected": -193.1275177001953,
637
+ "loss": 0.5029,
638
+ "rewards/accuracies": 0.75,
639
+ "rewards/chosen": -1.3134868144989014,
640
+ "rewards/margins": 1.5050963163375854,
641
+ "rewards/rejected": -2.8185834884643555,
642
+ "step": 195
643
+ },
644
+ {
645
+ "epoch": 0.6837606837606838,
646
+ "grad_norm": 25.21313391058931,
647
+ "learning_rate": 8.858571559921537e-07,
648
+ "logits/chosen": -2.191737174987793,
649
+ "logits/rejected": -2.1188113689422607,
650
+ "logps/chosen": -174.46722412109375,
651
+ "logps/rejected": -188.4197540283203,
652
+ "loss": 0.4567,
653
+ "rewards/accuracies": 0.75,
654
+ "rewards/chosen": -1.026064157485962,
655
+ "rewards/margins": 1.5865710973739624,
656
+ "rewards/rejected": -2.612635374069214,
657
+ "step": 200
658
+ },
659
+ {
660
+ "epoch": 0.6837606837606838,
661
+ "eval_logits/chosen": -2.1586899757385254,
662
+ "eval_logits/rejected": -2.1090493202209473,
663
+ "eval_logps/chosen": -170.4287872314453,
664
+ "eval_logps/rejected": -187.2865447998047,
665
+ "eval_loss": 0.45979756116867065,
666
+ "eval_rewards/accuracies": 0.7596153616905212,
667
+ "eval_rewards/chosen": -1.1951465606689453,
668
+ "eval_rewards/margins": 1.64547860622406,
669
+ "eval_rewards/rejected": -2.840625047683716,
670
+ "eval_runtime": 510.4854,
671
+ "eval_samples_per_second": 16.286,
672
+ "eval_steps_per_second": 0.255,
673
+ "step": 200
674
+ },
675
+ {
676
+ "epoch": 0.7008547008547008,
677
+ "grad_norm": 35.24537564842276,
678
+ "learning_rate": 8.800262260667754e-07,
679
+ "logits/chosen": -2.1282899379730225,
680
+ "logits/rejected": -2.0742104053497314,
681
+ "logps/chosen": -165.1837921142578,
682
+ "logps/rejected": -182.61190795898438,
683
+ "loss": 0.4603,
684
+ "rewards/accuracies": 0.75,
685
+ "rewards/chosen": -1.3638368844985962,
686
+ "rewards/margins": 1.6600275039672852,
687
+ "rewards/rejected": -3.023864507675171,
688
+ "step": 205
689
+ },
690
+ {
691
+ "epoch": 0.717948717948718,
692
+ "grad_norm": 28.161564325401752,
693
+ "learning_rate": 8.740702686170954e-07,
694
+ "logits/chosen": -2.131873369216919,
695
+ "logits/rejected": -2.0582406520843506,
696
+ "logps/chosen": -184.79843139648438,
697
+ "logps/rejected": -201.92471313476562,
698
+ "loss": 0.4458,
699
+ "rewards/accuracies": 0.7437499761581421,
700
+ "rewards/chosen": -1.8222748041152954,
701
+ "rewards/margins": 1.8169399499893188,
702
+ "rewards/rejected": -3.639214277267456,
703
+ "step": 210
704
+ },
705
+ {
706
+ "epoch": 0.7350427350427351,
707
+ "grad_norm": 27.38246704123344,
708
+ "learning_rate": 8.679912431358109e-07,
709
+ "logits/chosen": -2.149195909500122,
710
+ "logits/rejected": -2.0881500244140625,
711
+ "logps/chosen": -176.96768188476562,
712
+ "logps/rejected": -193.83583068847656,
713
+ "loss": 0.4503,
714
+ "rewards/accuracies": 0.75,
715
+ "rewards/chosen": -1.8590911626815796,
716
+ "rewards/margins": 1.9566419124603271,
717
+ "rewards/rejected": -3.8157334327697754,
718
+ "step": 215
719
+ },
720
+ {
721
+ "epoch": 0.7521367521367521,
722
+ "grad_norm": 26.680467589239278,
723
+ "learning_rate": 8.617911496046445e-07,
724
+ "logits/chosen": -2.1819872856140137,
725
+ "logits/rejected": -2.1153197288513184,
726
+ "logps/chosen": -172.77716064453125,
727
+ "logps/rejected": -191.78298950195312,
728
+ "loss": 0.4676,
729
+ "rewards/accuracies": 0.7749999761581421,
730
+ "rewards/chosen": -1.7457681894302368,
731
+ "rewards/margins": 1.8468406200408936,
732
+ "rewards/rejected": -3.592608690261841,
733
+ "step": 220
734
+ },
735
+ {
736
+ "epoch": 0.7692307692307693,
737
+ "grad_norm": 27.17086789362823,
738
+ "learning_rate": 8.554720278363547e-07,
739
+ "logits/chosen": -2.2397422790527344,
740
+ "logits/rejected": -2.199204444885254,
741
+ "logps/chosen": -173.76963806152344,
742
+ "logps/rejected": -191.92172241210938,
743
+ "loss": 0.474,
744
+ "rewards/accuracies": 0.7250000238418579,
745
+ "rewards/chosen": -1.4509254693984985,
746
+ "rewards/margins": 1.7614561319351196,
747
+ "rewards/rejected": -3.212381362915039,
748
+ "step": 225
749
+ },
750
+ {
751
+ "epoch": 0.7863247863247863,
752
+ "grad_norm": 34.41944082003437,
753
+ "learning_rate": 8.490359568036445e-07,
754
+ "logits/chosen": -2.3623924255371094,
755
+ "logits/rejected": -2.332777976989746,
756
+ "logps/chosen": -181.22314453125,
757
+ "logps/rejected": -203.68490600585938,
758
+ "loss": 0.458,
759
+ "rewards/accuracies": 0.7749999761581421,
760
+ "rewards/chosen": -1.3178858757019043,
761
+ "rewards/margins": 1.6162595748901367,
762
+ "rewards/rejected": -2.934145450592041,
763
+ "step": 230
764
+ },
765
+ {
766
+ "epoch": 0.8034188034188035,
767
+ "grad_norm": 26.240821537730366,
768
+ "learning_rate": 8.424850539551856e-07,
769
+ "logits/chosen": -2.457951068878174,
770
+ "logits/rejected": -2.430043935775757,
771
+ "logps/chosen": -174.00967407226562,
772
+ "logps/rejected": -190.4671173095703,
773
+ "loss": 0.4457,
774
+ "rewards/accuracies": 0.800000011920929,
775
+ "rewards/chosen": -1.3960864543914795,
776
+ "rewards/margins": 1.7217321395874023,
777
+ "rewards/rejected": -3.117818593978882,
778
+ "step": 235
779
+ },
780
+ {
781
+ "epoch": 0.8205128205128205,
782
+ "grad_norm": 23.836616559503103,
783
+ "learning_rate": 8.358214745189829e-07,
784
+ "logits/chosen": -2.5360074043273926,
785
+ "logits/rejected": -2.502570867538452,
786
+ "logps/chosen": -183.65618896484375,
787
+ "logps/rejected": -204.5669403076172,
788
+ "loss": 0.4236,
789
+ "rewards/accuracies": 0.8187500238418579,
790
+ "rewards/chosen": -1.516182541847229,
791
+ "rewards/margins": 2.1192710399627686,
792
+ "rewards/rejected": -3.635453462600708,
793
+ "step": 240
794
+ },
795
+ {
796
+ "epoch": 0.8376068376068376,
797
+ "grad_norm": 26.25101678311949,
798
+ "learning_rate": 8.290474107933114e-07,
799
+ "logits/chosen": -2.5879926681518555,
800
+ "logits/rejected": -2.5638298988342285,
801
+ "logps/chosen": -184.1548614501953,
802
+ "logps/rejected": -202.95677185058594,
803
+ "loss": 0.4494,
804
+ "rewards/accuracies": 0.762499988079071,
805
+ "rewards/chosen": -1.7255306243896484,
806
+ "rewards/margins": 1.9638643264770508,
807
+ "rewards/rejected": -3.68939471244812,
808
+ "step": 245
809
+ },
810
+ {
811
+ "epoch": 0.8547008547008547,
812
+ "grad_norm": 28.730820152276525,
813
+ "learning_rate": 8.221650914254565e-07,
814
+ "logits/chosen": -2.592283248901367,
815
+ "logits/rejected": -2.561645984649658,
816
+ "logps/chosen": -183.74407958984375,
817
+ "logps/rejected": -195.3282470703125,
818
+ "loss": 0.4873,
819
+ "rewards/accuracies": 0.7562500238418579,
820
+ "rewards/chosen": -1.9939171075820923,
821
+ "rewards/margins": 1.590651273727417,
822
+ "rewards/rejected": -3.584568500518799,
823
+ "step": 250
824
+ },
825
+ {
826
+ "epoch": 0.8547008547008547,
827
+ "eval_logits/chosen": -2.5724236965179443,
828
+ "eval_logits/rejected": -2.545708417892456,
829
+ "eval_logps/chosen": -177.6819305419922,
830
+ "eval_logps/rejected": -195.5203399658203,
831
+ "eval_loss": 0.44874703884124756,
832
+ "eval_rewards/accuracies": 0.7634615302085876,
833
+ "eval_rewards/chosen": -1.9204591512680054,
834
+ "eval_rewards/margins": 1.743545413017273,
835
+ "eval_rewards/rejected": -3.664004325866699,
836
+ "eval_runtime": 510.735,
837
+ "eval_samples_per_second": 16.278,
838
+ "eval_steps_per_second": 0.255,
839
+ "step": 250
840
+ },
841
+ {
842
+ "epoch": 0.8717948717948718,
843
+ "grad_norm": 26.28610055865234,
844
+ "learning_rate": 8.151767806784953e-07,
845
+ "logits/chosen": -2.5476808547973633,
846
+ "logits/rejected": -2.5247130393981934,
847
+ "logps/chosen": -188.99472045898438,
848
+ "logps/rejected": -200.0706329345703,
849
+ "loss": 0.4745,
850
+ "rewards/accuracies": 0.731249988079071,
851
+ "rewards/chosen": -1.8807718753814697,
852
+ "rewards/margins": 1.3770544528961182,
853
+ "rewards/rejected": -3.257826328277588,
854
+ "step": 255
855
+ },
856
+ {
857
+ "epoch": 0.8888888888888888,
858
+ "grad_norm": 31.895303400766686,
859
+ "learning_rate": 8.080847776863608e-07,
860
+ "logits/chosen": -2.523097038269043,
861
+ "logits/rejected": -2.4968159198760986,
862
+ "logps/chosen": -187.11276245117188,
863
+ "logps/rejected": -202.34288024902344,
864
+ "loss": 0.4478,
865
+ "rewards/accuracies": 0.7749999761581421,
866
+ "rewards/chosen": -1.120813250541687,
867
+ "rewards/margins": 2.0744528770446777,
868
+ "rewards/rejected": -3.1952662467956543,
869
+ "step": 260
870
+ },
871
+ {
872
+ "epoch": 0.905982905982906,
873
+ "grad_norm": 26.320681707210774,
874
+ "learning_rate": 8.008914156974333e-07,
875
+ "logits/chosen": -2.462744951248169,
876
+ "logits/rejected": -2.4353935718536377,
877
+ "logps/chosen": -173.44297790527344,
878
+ "logps/rejected": -195.9517822265625,
879
+ "loss": 0.4374,
880
+ "rewards/accuracies": 0.768750011920929,
881
+ "rewards/chosen": -0.8408319354057312,
882
+ "rewards/margins": 1.7711703777313232,
883
+ "rewards/rejected": -2.612001895904541,
884
+ "step": 265
885
+ },
886
+ {
887
+ "epoch": 0.9230769230769231,
888
+ "grad_norm": 26.997987002073426,
889
+ "learning_rate": 7.935990613069086e-07,
890
+ "logits/chosen": -2.4033281803131104,
891
+ "logits/rejected": -2.369520425796509,
892
+ "logps/chosen": -171.97085571289062,
893
+ "logps/rejected": -191.66697692871094,
894
+ "loss": 0.4474,
895
+ "rewards/accuracies": 0.737500011920929,
896
+ "rewards/chosen": -0.8512971997261047,
897
+ "rewards/margins": 1.844062089920044,
898
+ "rewards/rejected": -2.695359230041504,
899
+ "step": 270
900
+ },
901
+ {
902
+ "epoch": 0.9401709401709402,
903
+ "grad_norm": 27.58725138274707,
904
+ "learning_rate": 7.862101136781946e-07,
905
+ "logits/chosen": -2.3467745780944824,
906
+ "logits/rejected": -2.3106236457824707,
907
+ "logps/chosen": -171.92318725585938,
908
+ "logps/rejected": -194.26400756835938,
909
+ "loss": 0.4207,
910
+ "rewards/accuracies": 0.8062499761581421,
911
+ "rewards/chosen": -1.4691975116729736,
912
+ "rewards/margins": 1.7321897745132446,
913
+ "rewards/rejected": -3.201387405395508,
914
+ "step": 275
915
+ },
916
+ {
917
+ "epoch": 0.9572649572649573,
918
+ "grad_norm": 28.716376412825436,
919
+ "learning_rate": 7.78727003753595e-07,
920
+ "logits/chosen": -2.287221670150757,
921
+ "logits/rejected": -2.260993480682373,
922
+ "logps/chosen": -175.48435974121094,
923
+ "logps/rejected": -199.2796173095703,
924
+ "loss": 0.4469,
925
+ "rewards/accuracies": 0.762499988079071,
926
+ "rewards/chosen": -1.8219757080078125,
927
+ "rewards/margins": 2.2368292808532715,
928
+ "rewards/rejected": -4.058804512023926,
929
+ "step": 280
930
+ },
931
+ {
932
+ "epoch": 0.9743589743589743,
933
+ "grad_norm": 22.896854237985796,
934
+ "learning_rate": 7.711521934545342e-07,
935
+ "logits/chosen": -2.2684969902038574,
936
+ "logits/rejected": -2.2303268909454346,
937
+ "logps/chosen": -187.36607360839844,
938
+ "logps/rejected": -207.65261840820312,
939
+ "loss": 0.4153,
940
+ "rewards/accuracies": 0.7749999761581421,
941
+ "rewards/chosen": -1.6430988311767578,
942
+ "rewards/margins": 2.1586105823516846,
943
+ "rewards/rejected": -3.8017096519470215,
944
+ "step": 285
945
+ },
946
+ {
947
+ "epoch": 0.9914529914529915,
948
+ "grad_norm": 27.30975328138857,
949
+ "learning_rate": 7.63488174871594e-07,
950
+ "logits/chosen": -2.2886035442352295,
951
+ "logits/rejected": -2.2276930809020996,
952
+ "logps/chosen": -183.37933349609375,
953
+ "logps/rejected": -201.49429321289062,
954
+ "loss": 0.4079,
955
+ "rewards/accuracies": 0.793749988079071,
956
+ "rewards/chosen": -1.3509235382080078,
957
+ "rewards/margins": 2.130119800567627,
958
+ "rewards/rejected": -3.481043577194214,
959
+ "step": 290
960
+ },
961
+ {
962
+ "epoch": 1.0085470085470085,
963
+ "grad_norm": 20.392666769639558,
964
+ "learning_rate": 7.557374694446221e-07,
965
+ "logits/chosen": -2.264070510864258,
966
+ "logits/rejected": -2.248257637023926,
967
+ "logps/chosen": -170.48977661132812,
968
+ "logps/rejected": -192.82720947265625,
969
+ "loss": 0.3189,
970
+ "rewards/accuracies": 0.84375,
971
+ "rewards/chosen": -0.9297264814376831,
972
+ "rewards/margins": 2.2484724521636963,
973
+ "rewards/rejected": -3.1781985759735107,
974
+ "step": 295
975
+ },
976
+ {
977
+ "epoch": 1.0256410256410255,
978
+ "grad_norm": 16.68267756771692,
979
+ "learning_rate": 7.479026271331863e-07,
980
+ "logits/chosen": -2.3048789501190186,
981
+ "logits/rejected": -2.2495861053466797,
982
+ "logps/chosen": -170.22055053710938,
983
+ "logps/rejected": -198.54359436035156,
984
+ "loss": 0.2176,
985
+ "rewards/accuracies": 0.918749988079071,
986
+ "rewards/chosen": -0.4595426619052887,
987
+ "rewards/margins": 2.989124059677124,
988
+ "rewards/rejected": -3.44866681098938,
989
+ "step": 300
990
+ },
991
+ {
992
+ "epoch": 1.0256410256410255,
993
+ "eval_logits/chosen": -2.3489644527435303,
994
+ "eval_logits/rejected": -2.3130385875701904,
995
+ "eval_logps/chosen": -170.4687957763672,
996
+ "eval_logps/rejected": -190.08233642578125,
997
+ "eval_loss": 0.4382702112197876,
998
+ "eval_rewards/accuracies": 0.7846153974533081,
999
+ "eval_rewards/chosen": -1.1991456747055054,
1000
+ "eval_rewards/margins": 1.9210587739944458,
1001
+ "eval_rewards/rejected": -3.1202046871185303,
1002
+ "eval_runtime": 511.3486,
1003
+ "eval_samples_per_second": 16.259,
1004
+ "eval_steps_per_second": 0.254,
1005
+ "step": 300
1006
+ }
1007
+ ],
1008
+ "logging_steps": 5,
1009
+ "max_steps": 876,
1010
+ "num_input_tokens_seen": 0,
1011
+ "num_train_epochs": 3,
1012
+ "save_steps": 100,
1013
+ "stateful_callbacks": {
1014
+ "TrainerControl": {
1015
+ "args": {
1016
+ "should_epoch_stop": false,
1017
+ "should_evaluate": false,
1018
+ "should_log": false,
1019
+ "should_save": true,
1020
+ "should_training_stop": false
1021
+ },
1022
+ "attributes": {}
1023
+ }
1024
+ },
1025
+ "total_flos": 3537404052897792.0,
1026
+ "train_batch_size": 8,
1027
+ "trial_name": null,
1028
+ "trial_params": null
1029
+ }
checkpoint-300/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:82da4d1d6d59805e00ef2db173d4cb9ade65e4282b4e4e61c54f617596094735
3
+ size 7096
checkpoint-400/added_tokens.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "<image>": 32000,
3
+ "<pad>": 32001
4
+ }
checkpoint-400/config.json ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/data/align-anything/hantao/models/llava-v1.6-mistral-7b-hf",
3
+ "architectures": [
4
+ "LlavaNextForConditionalGeneration"
5
+ ],
6
+ "hidden_size": 4096,
7
+ "ignore_index": -100,
8
+ "image_grid_pinpoints": [
9
+ [
10
+ 336,
11
+ 672
12
+ ],
13
+ [
14
+ 672,
15
+ 336
16
+ ],
17
+ [
18
+ 672,
19
+ 672
20
+ ],
21
+ [
22
+ 1008,
23
+ 336
24
+ ],
25
+ [
26
+ 336,
27
+ 1008
28
+ ]
29
+ ],
30
+ "image_seq_length": 576,
31
+ "image_token_index": 32000,
32
+ "model_type": "llava_next",
33
+ "projector_hidden_act": "gelu",
34
+ "text_config": {
35
+ "_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
36
+ "architectures": [
37
+ "MistralForCausalLM"
38
+ ],
39
+ "intermediate_size": 14336,
40
+ "max_position_embeddings": 32768,
41
+ "model_type": "mistral",
42
+ "num_key_value_heads": 8,
43
+ "rms_norm_eps": 1e-05,
44
+ "rope_theta": 1000000.0,
45
+ "sliding_window": null,
46
+ "torch_dtype": "bfloat16",
47
+ "vocab_size": 32064
48
+ },
49
+ "tie_word_embeddings": false,
50
+ "torch_dtype": "bfloat16",
51
+ "transformers_version": "4.45.2",
52
+ "use_cache": false,
53
+ "use_image_newline_parameter": true,
54
+ "vision_config": {
55
+ "hidden_size": 1024,
56
+ "image_size": 336,
57
+ "intermediate_size": 4096,
58
+ "model_type": "clip_vision_model",
59
+ "num_attention_heads": 16,
60
+ "num_hidden_layers": 24,
61
+ "patch_size": 14,
62
+ "projection_dim": 768,
63
+ "vocab_size": 32000
64
+ },
65
+ "vision_feature_layer": -2,
66
+ "vision_feature_select_strategy": "default",
67
+ "vocab_size": 32064
68
+ }