Model save

README.md

@@ -50,8 +50,8 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- PEFT 0.14.0
-- Transformers 4.48.0
+- PEFT 0.13.2
+- Transformers 4.46.3
 - Pytorch 2.5.1+cu124
-- Datasets 3.2.0
-- Tokenizers 0.21.0
+- Datasets 3.1.0
+- Tokenizers 0.20.3

adapter_config.json

@@ -6,8 +6,6 @@
   },
   "base_model_name_or_path": "meta-llama/Llama-3.2-11B-Vision-Instruct",
   "bias": "none",
-  "eva_config": null,
-  "exclude_modules": null,
   "fan_in_fan_out": false,
   "inference_mode": true,
   "init_lora_weights": "gaussian",
@@ -16,7 +14,6 @@
   "layers_to_transform": null,
   "loftq_config": {},
   "lora_alpha": 8,
-  "lora_bias": false,
   "lora_dropout": 0.1,
   "megatron_config": null,
   "megatron_core": "megatron.core",
@@ -26,13 +23,13 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "o_proj",
-    "q_proj",
-    "down_proj",
     "gate_proj",
+    "down_proj",
     "v_proj",
-    "up_proj",
-    "k_proj"
+    "o_proj",
+    "k_proj",
+    "q_proj",
+    "up_proj"
   ],
   "task_type": null,
   "use_dora": true,

adapter_model.safetensors

@@ -1,3 +1,3 @@
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training_args.bin

@@ -1,3 +1,3 @@
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