add all lora weights
Browse filesThis view is limited to 50 files because it contains too many changes.
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- Llama-2-13b-chat-hf-inquisitive/README.md +20 -0
- Llama-2-13b-chat-hf-inquisitive/adapter_config.json +26 -0
- Llama-2-13b-chat-hf-inquisitive/adapter_model.bin +3 -0
- Llama-2-13b-chat-hf-nudged-questions01/README.md +20 -0
- Llama-2-13b-chat-hf-nudged-questions01/adapter_config.json +26 -0
- Llama-2-13b-chat-hf-nudged-questions01/adapter_model.bin +3 -0
- Llama-2-13b-chat-hf-nudged-questions02/README.md +20 -0
- Llama-2-13b-chat-hf-nudged-questions02/adapter_config.json +26 -0
- Llama-2-13b-chat-hf-nudged-questions02/adapter_model.bin +3 -0
- Llama-2-13b-chat-hf-nudged-questions12/README.md +20 -0
- Llama-2-13b-chat-hf-nudged-questions12/adapter_config.json +26 -0
- Llama-2-13b-chat-hf-nudged-questions12/adapter_model.bin +3 -0
- Llama-2-13b-chat-hf-treccast01/README.md +20 -0
- Llama-2-13b-chat-hf-treccast01/adapter_config.json +26 -0
- Llama-2-13b-chat-hf-treccast01/adapter_model.bin +3 -0
- Llama-2-13b-chat-hf-treccast02/README.md +20 -0
- Llama-2-13b-chat-hf-treccast02/adapter_config.json +26 -0
- Llama-2-13b-chat-hf-treccast02/adapter_model.bin +3 -0
- Llama-2-13b-chat-hf-treccast12/README.md +20 -0
- Llama-2-13b-chat-hf-treccast12/adapter_config.json +26 -0
- Llama-2-13b-chat-hf-treccast12/adapter_model.bin +3 -0
- Llama-2-13b-hf-inquisitive/README.md +20 -0
- Llama-2-13b-hf-inquisitive/adapter_config.json +26 -0
- Llama-2-13b-hf-inquisitive/adapter_model.bin +3 -0
- Llama-2-13b-hf-nudged-questions01/README.md +20 -0
- Llama-2-13b-hf-nudged-questions01/adapter_config.json +26 -0
- Llama-2-13b-hf-nudged-questions01/adapter_model.bin +3 -0
- Llama-2-13b-hf-nudged-questions02/README.md +20 -0
- Llama-2-13b-hf-nudged-questions02/adapter_config.json +26 -0
- Llama-2-13b-hf-nudged-questions02/adapter_model.bin +3 -0
- Llama-2-13b-hf-nudged-questions12/README.md +20 -0
- Llama-2-13b-hf-nudged-questions12/adapter_config.json +26 -0
- Llama-2-13b-hf-nudged-questions12/adapter_model.bin +3 -0
- Llama-2-13b-hf-treccast01/README.md +20 -0
- Llama-2-13b-hf-treccast01/adapter_config.json +26 -0
- Llama-2-13b-hf-treccast01/adapter_model.bin +3 -0
- Llama-2-13b-hf-treccast02/README.md +20 -0
- Llama-2-13b-hf-treccast02/adapter_config.json +26 -0
- Llama-2-13b-hf-treccast02/adapter_model.bin +3 -0
- Llama-2-13b-hf-treccast12/README.md +20 -0
- Llama-2-13b-hf-treccast12/adapter_config.json +26 -0
- Llama-2-13b-hf-treccast12/adapter_model.bin +3 -0
- Llama-2-7b-chat-hf-inquisitive/README.md +20 -0
- Llama-2-7b-chat-hf-inquisitive/adapter_config.json +26 -0
- Llama-2-7b-chat-hf-inquisitive/adapter_model.bin +3 -0
- Llama-2-7b-chat-hf-nudged-questions01/README.md +20 -0
- Llama-2-7b-chat-hf-nudged-questions01/adapter_config.json +26 -0
- Llama-2-7b-chat-hf-nudged-questions01/adapter_model.bin +3 -0
- Llama-2-7b-chat-hf-nudged-questions02/README.md +20 -0
- Llama-2-7b-chat-hf-nudged-questions02/adapter_config.json +26 -0
Llama-2-13b-chat-hf-inquisitive/README.md
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---
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library_name: peft
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---
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## Training procedure
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The following `bitsandbytes` quantization config was used during training:
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- load_in_8bit: False
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- load_in_4bit: True
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- llm_int8_threshold: 6.0
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- llm_int8_skip_modules: None
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- llm_int8_enable_fp32_cpu_offload: False
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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: nf4
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- bnb_4bit_use_double_quant: False
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- bnb_4bit_compute_dtype: float16
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+
### Framework versions
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+
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+
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+
- PEFT 0.4.0
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Llama-2-13b-chat-hf-inquisitive/adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "meta-llama/Llama-2-13b-chat-hf",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 16,
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"lora_dropout": 0.1,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 64,
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"revision": null,
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"target_modules": [
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"gate_proj",
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"o_proj",
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"down_proj",
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"up_proj",
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"k_proj",
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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Llama-2-13b-chat-hf-inquisitive/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:6a0fc85ac50b9f042dd01a725597116744c9656f0ee5961ba4af3da2681e91dc
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size 1001592141
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Llama-2-13b-chat-hf-nudged-questions01/README.md
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---
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library_name: peft
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3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: nf4
|
15 |
+
- bnb_4bit_use_double_quant: False
|
16 |
+
- bnb_4bit_compute_dtype: float16
|
17 |
+
### Framework versions
|
18 |
+
|
19 |
+
|
20 |
+
- PEFT 0.4.0
|
Llama-2-13b-chat-hf-nudged-questions01/adapter_config.json
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{
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"auto_mapping": null,
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+
"base_model_name_or_path": "meta-llama/Llama-2-13b-chat-hf",
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+
"bias": "none",
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5 |
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"fan_in_fan_out": false,
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6 |
+
"inference_mode": true,
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7 |
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"init_lora_weights": true,
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8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
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10 |
+
"lora_alpha": 16,
|
11 |
+
"lora_dropout": 0.1,
|
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+
"modules_to_save": null,
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+
"peft_type": "LORA",
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+
"r": 64,
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+
"revision": null,
|
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+
"target_modules": [
|
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+
"q_proj",
|
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+
"o_proj",
|
19 |
+
"down_proj",
|
20 |
+
"up_proj",
|
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+
"k_proj",
|
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+
"v_proj",
|
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+
"gate_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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Llama-2-13b-chat-hf-nudged-questions01/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:71a91be54e7119eff10adf725ba62919c893ffd3dac3167ff98d45498da94e33
|
3 |
+
size 1001592141
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Llama-2-13b-chat-hf-nudged-questions02/README.md
ADDED
@@ -0,0 +1,20 @@
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1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: nf4
|
15 |
+
- bnb_4bit_use_double_quant: False
|
16 |
+
- bnb_4bit_compute_dtype: float16
|
17 |
+
### Framework versions
|
18 |
+
|
19 |
+
|
20 |
+
- PEFT 0.4.0
|
Llama-2-13b-chat-hf-nudged-questions02/adapter_config.json
ADDED
@@ -0,0 +1,26 @@
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+
{
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2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "meta-llama/Llama-2-13b-hf",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": true,
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 16,
|
11 |
+
"lora_dropout": 0.1,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 64,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"o_proj",
|
18 |
+
"down_proj",
|
19 |
+
"q_proj",
|
20 |
+
"v_proj",
|
21 |
+
"k_proj",
|
22 |
+
"gate_proj",
|
23 |
+
"up_proj"
|
24 |
+
],
|
25 |
+
"task_type": "CAUSAL_LM"
|
26 |
+
}
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Llama-2-13b-chat-hf-nudged-questions02/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4b66fec6bf9330c50747f5a6cedeba4b8641155aea5e6f73f0efc5388c11a622
|
3 |
+
size 1001592141
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Llama-2-13b-chat-hf-nudged-questions12/README.md
ADDED
@@ -0,0 +1,20 @@
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+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: nf4
|
15 |
+
- bnb_4bit_use_double_quant: False
|
16 |
+
- bnb_4bit_compute_dtype: float16
|
17 |
+
### Framework versions
|
18 |
+
|
19 |
+
|
20 |
+
- PEFT 0.4.0
|
Llama-2-13b-chat-hf-nudged-questions12/adapter_config.json
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{
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"auto_mapping": null,
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3 |
+
"base_model_name_or_path": "meta-llama/Llama-2-13b-chat-hf",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": true,
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 16,
|
11 |
+
"lora_dropout": 0.1,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 64,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"q_proj",
|
18 |
+
"o_proj",
|
19 |
+
"down_proj",
|
20 |
+
"up_proj",
|
21 |
+
"k_proj",
|
22 |
+
"v_proj",
|
23 |
+
"gate_proj"
|
24 |
+
],
|
25 |
+
"task_type": "CAUSAL_LM"
|
26 |
+
}
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Llama-2-13b-chat-hf-nudged-questions12/adapter_model.bin
ADDED
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1 |
+
version https://git-lfs.github.com/spec/v1
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+
oid sha256:e8e6c7d86e9adec14775a8562e4a71dd6798bc147b0354ad91274681530fcdf6
|
3 |
+
size 1001592141
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Llama-2-13b-chat-hf-treccast01/README.md
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1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: nf4
|
15 |
+
- bnb_4bit_use_double_quant: False
|
16 |
+
- bnb_4bit_compute_dtype: float16
|
17 |
+
### Framework versions
|
18 |
+
|
19 |
+
|
20 |
+
- PEFT 0.4.0
|
Llama-2-13b-chat-hf-treccast01/adapter_config.json
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{
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"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "meta-llama/Llama-2-13b-chat-hf",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": true,
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 16,
|
11 |
+
"lora_dropout": 0.1,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 64,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"q_proj",
|
18 |
+
"o_proj",
|
19 |
+
"down_proj",
|
20 |
+
"up_proj",
|
21 |
+
"k_proj",
|
22 |
+
"v_proj",
|
23 |
+
"gate_proj"
|
24 |
+
],
|
25 |
+
"task_type": "CAUSAL_LM"
|
26 |
+
}
|
Llama-2-13b-chat-hf-treccast01/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1d69178176e68b4267196175bd2522e1046373803d3f03c76644879fa69066ca
|
3 |
+
size 1001592141
|
Llama-2-13b-chat-hf-treccast02/README.md
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: nf4
|
15 |
+
- bnb_4bit_use_double_quant: False
|
16 |
+
- bnb_4bit_compute_dtype: float16
|
17 |
+
### Framework versions
|
18 |
+
|
19 |
+
|
20 |
+
- PEFT 0.4.0
|
Llama-2-13b-chat-hf-treccast02/adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "meta-llama/Llama-2-13b-chat-hf",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": true,
|
8 |
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"layers_pattern": null,
|
9 |
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"layers_to_transform": null,
|
10 |
+
"lora_alpha": 16,
|
11 |
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"lora_dropout": 0.1,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 64,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"q_proj",
|
18 |
+
"o_proj",
|
19 |
+
"down_proj",
|
20 |
+
"up_proj",
|
21 |
+
"k_proj",
|
22 |
+
"v_proj",
|
23 |
+
"gate_proj"
|
24 |
+
],
|
25 |
+
"task_type": "CAUSAL_LM"
|
26 |
+
}
|
Llama-2-13b-chat-hf-treccast02/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:22a71d55adb121c7956f09af825b681d16206e8b4989d526b854d6dd43a33d7c
|
3 |
+
size 1001592141
|
Llama-2-13b-chat-hf-treccast12/README.md
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: nf4
|
15 |
+
- bnb_4bit_use_double_quant: False
|
16 |
+
- bnb_4bit_compute_dtype: float16
|
17 |
+
### Framework versions
|
18 |
+
|
19 |
+
|
20 |
+
- PEFT 0.4.0
|
Llama-2-13b-chat-hf-treccast12/adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
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"base_model_name_or_path": "meta-llama/Llama-2-13b-chat-hf",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": true,
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
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"lora_alpha": 16,
|
11 |
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"lora_dropout": 0.1,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 64,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"q_proj",
|
18 |
+
"o_proj",
|
19 |
+
"down_proj",
|
20 |
+
"up_proj",
|
21 |
+
"k_proj",
|
22 |
+
"v_proj",
|
23 |
+
"gate_proj"
|
24 |
+
],
|
25 |
+
"task_type": "CAUSAL_LM"
|
26 |
+
}
|
Llama-2-13b-chat-hf-treccast12/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:df395304a13c0d0d5a31e3b376cf582dbb7d1757337e0598d9684a4d9c00e2a1
|
3 |
+
size 1001592141
|
Llama-2-13b-hf-inquisitive/README.md
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: nf4
|
15 |
+
- bnb_4bit_use_double_quant: False
|
16 |
+
- bnb_4bit_compute_dtype: float16
|
17 |
+
### Framework versions
|
18 |
+
|
19 |
+
|
20 |
+
- PEFT 0.4.0
|
Llama-2-13b-hf-inquisitive/adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
|
|
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|
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|
|
|
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|
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|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "meta-llama/Llama-2-13b-hf",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": true,
|
8 |
+
"layers_pattern": null,
|
9 |
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"layers_to_transform": null,
|
10 |
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"lora_alpha": 16,
|
11 |
+
"lora_dropout": 0.1,
|
12 |
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"modules_to_save": null,
|
13 |
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"peft_type": "LORA",
|
14 |
+
"r": 64,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"gate_proj",
|
18 |
+
"o_proj",
|
19 |
+
"down_proj",
|
20 |
+
"up_proj",
|
21 |
+
"k_proj",
|
22 |
+
"q_proj",
|
23 |
+
"v_proj"
|
24 |
+
],
|
25 |
+
"task_type": "CAUSAL_LM"
|
26 |
+
}
|
Llama-2-13b-hf-inquisitive/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:eabe51b49269ca9b6f25deb207b849fdae55018bad4ba6de91834db49b1960c7
|
3 |
+
size 1001592141
|
Llama-2-13b-hf-nudged-questions01/README.md
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: nf4
|
15 |
+
- bnb_4bit_use_double_quant: False
|
16 |
+
- bnb_4bit_compute_dtype: float16
|
17 |
+
### Framework versions
|
18 |
+
|
19 |
+
|
20 |
+
- PEFT 0.4.0
|
Llama-2-13b-hf-nudged-questions01/adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "meta-llama/Llama-2-13b-hf",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": true,
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 16,
|
11 |
+
"lora_dropout": 0.1,
|
12 |
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"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 64,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"q_proj",
|
18 |
+
"o_proj",
|
19 |
+
"down_proj",
|
20 |
+
"up_proj",
|
21 |
+
"k_proj",
|
22 |
+
"v_proj",
|
23 |
+
"gate_proj"
|
24 |
+
],
|
25 |
+
"task_type": "CAUSAL_LM"
|
26 |
+
}
|
Llama-2-13b-hf-nudged-questions01/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3393b39fed5661c79255eaee759acc554ba47ac9975b344cfc3e299799d51063
|
3 |
+
size 1001592141
|
Llama-2-13b-hf-nudged-questions02/README.md
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: nf4
|
15 |
+
- bnb_4bit_use_double_quant: False
|
16 |
+
- bnb_4bit_compute_dtype: float16
|
17 |
+
### Framework versions
|
18 |
+
|
19 |
+
|
20 |
+
- PEFT 0.4.0
|
Llama-2-13b-hf-nudged-questions02/adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "meta-llama/Llama-2-13b-hf",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": true,
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 16,
|
11 |
+
"lora_dropout": 0.1,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 64,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"q_proj",
|
18 |
+
"o_proj",
|
19 |
+
"down_proj",
|
20 |
+
"up_proj",
|
21 |
+
"k_proj",
|
22 |
+
"v_proj",
|
23 |
+
"gate_proj"
|
24 |
+
],
|
25 |
+
"task_type": "CAUSAL_LM"
|
26 |
+
}
|
Llama-2-13b-hf-nudged-questions02/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e74a38a83188826aefaec6d3d605442116c0835dba95bf446cac33e576a7100b
|
3 |
+
size 1001592141
|
Llama-2-13b-hf-nudged-questions12/README.md
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: nf4
|
15 |
+
- bnb_4bit_use_double_quant: False
|
16 |
+
- bnb_4bit_compute_dtype: float16
|
17 |
+
### Framework versions
|
18 |
+
|
19 |
+
|
20 |
+
- PEFT 0.4.0
|
Llama-2-13b-hf-nudged-questions12/adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
1 |
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{
|
2 |
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|
3 |
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"base_model_name_or_path": "meta-llama/Llama-2-13b-hf",
|
4 |
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"bias": "none",
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5 |
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"fan_in_fan_out": false,
|
6 |
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|
7 |
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"init_lora_weights": true,
|
8 |
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"layers_pattern": null,
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9 |
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12 |
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13 |
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"peft_type": "LORA",
|
14 |
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"r": 64,
|
15 |
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"revision": null,
|
16 |
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"target_modules": [
|
17 |
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"q_proj",
|
18 |
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"o_proj",
|
19 |
+
"down_proj",
|
20 |
+
"up_proj",
|
21 |
+
"k_proj",
|
22 |
+
"v_proj",
|
23 |
+
"gate_proj"
|
24 |
+
],
|
25 |
+
"task_type": "CAUSAL_LM"
|
26 |
+
}
|
Llama-2-13b-hf-nudged-questions12/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:cd014e8d5b07113647e7a39e390c81e9c9d06664825298819784a1e1b650e177
|
3 |
+
size 1001592141
|
Llama-2-13b-hf-treccast01/README.md
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: nf4
|
15 |
+
- bnb_4bit_use_double_quant: False
|
16 |
+
- bnb_4bit_compute_dtype: float16
|
17 |
+
### Framework versions
|
18 |
+
|
19 |
+
|
20 |
+
- PEFT 0.4.0
|
Llama-2-13b-hf-treccast01/adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
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|
1 |
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{
|
2 |
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"auto_mapping": null,
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3 |
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"base_model_name_or_path": "meta-llama/Llama-2-13b-hf",
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4 |
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"bias": "none",
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5 |
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"fan_in_fan_out": false,
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6 |
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"inference_mode": true,
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7 |
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"init_lora_weights": true,
|
8 |
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"layers_pattern": null,
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9 |
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"layers_to_transform": null,
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"lora_alpha": 16,
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"lora_dropout": 0.1,
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12 |
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"modules_to_save": null,
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13 |
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"peft_type": "LORA",
|
14 |
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"r": 64,
|
15 |
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"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"q_proj",
|
18 |
+
"o_proj",
|
19 |
+
"down_proj",
|
20 |
+
"up_proj",
|
21 |
+
"k_proj",
|
22 |
+
"v_proj",
|
23 |
+
"gate_proj"
|
24 |
+
],
|
25 |
+
"task_type": "CAUSAL_LM"
|
26 |
+
}
|
Llama-2-13b-hf-treccast01/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:aece0ab2fe1648018bf30a7847672363cbc233d13168de83efb589f60a3bca6a
|
3 |
+
size 1001592141
|
Llama-2-13b-hf-treccast02/README.md
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: nf4
|
15 |
+
- bnb_4bit_use_double_quant: False
|
16 |
+
- bnb_4bit_compute_dtype: float16
|
17 |
+
### Framework versions
|
18 |
+
|
19 |
+
|
20 |
+
- PEFT 0.4.0
|
Llama-2-13b-hf-treccast02/adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
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1 |
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{
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"auto_mapping": null,
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"base_model_name_or_path": "meta-llama/Llama-2-13b-hf",
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4 |
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"bias": "none",
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"fan_in_fan_out": false,
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6 |
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"inference_mode": true,
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8 |
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"layers_pattern": null,
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"peft_type": "LORA",
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"r": 64,
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"revision": null,
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16 |
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"target_modules": [
|
17 |
+
"q_proj",
|
18 |
+
"o_proj",
|
19 |
+
"down_proj",
|
20 |
+
"up_proj",
|
21 |
+
"k_proj",
|
22 |
+
"v_proj",
|
23 |
+
"gate_proj"
|
24 |
+
],
|
25 |
+
"task_type": "CAUSAL_LM"
|
26 |
+
}
|
Llama-2-13b-hf-treccast02/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:54d15f21ef52fc9e271995b95c7adcbf235b5f6481d4e60b595e9e61aaa69bb9
|
3 |
+
size 1001592141
|
Llama-2-13b-hf-treccast12/README.md
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: nf4
|
15 |
+
- bnb_4bit_use_double_quant: False
|
16 |
+
- bnb_4bit_compute_dtype: float16
|
17 |
+
### Framework versions
|
18 |
+
|
19 |
+
|
20 |
+
- PEFT 0.4.0
|
Llama-2-13b-hf-treccast12/adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
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|
1 |
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{
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4 |
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"bias": "none",
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5 |
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"fan_in_fan_out": false,
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6 |
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8 |
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"r": 64,
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15 |
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"revision": null,
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16 |
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"target_modules": [
|
17 |
+
"q_proj",
|
18 |
+
"o_proj",
|
19 |
+
"down_proj",
|
20 |
+
"up_proj",
|
21 |
+
"k_proj",
|
22 |
+
"v_proj",
|
23 |
+
"gate_proj"
|
24 |
+
],
|
25 |
+
"task_type": "CAUSAL_LM"
|
26 |
+
}
|
Llama-2-13b-hf-treccast12/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0d7f797d5cd0d54b557b1ab478a700ddd9256dba67e44d27fa649427ca24a140
|
3 |
+
size 1001592141
|
Llama-2-7b-chat-hf-inquisitive/README.md
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: nf4
|
15 |
+
- bnb_4bit_use_double_quant: False
|
16 |
+
- bnb_4bit_compute_dtype: float16
|
17 |
+
### Framework versions
|
18 |
+
|
19 |
+
|
20 |
+
- PEFT 0.4.0
|
Llama-2-7b-chat-hf-inquisitive/adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
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|
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|
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|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
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"base_model_name_or_path": "meta-llama/Llama-2-7b-chat-hf",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
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"inference_mode": true,
|
7 |
+
"init_lora_weights": true,
|
8 |
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"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
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10 |
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"lora_alpha": 16,
|
11 |
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"lora_dropout": 0.1,
|
12 |
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"modules_to_save": null,
|
13 |
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"peft_type": "LORA",
|
14 |
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"r": 64,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"gate_proj",
|
18 |
+
"o_proj",
|
19 |
+
"down_proj",
|
20 |
+
"up_proj",
|
21 |
+
"k_proj",
|
22 |
+
"q_proj",
|
23 |
+
"v_proj"
|
24 |
+
],
|
25 |
+
"task_type": "CAUSAL_LM"
|
26 |
+
}
|
Llama-2-7b-chat-hf-inquisitive/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fef1e602f2be97b177dd63c69f73a905c93650bf8121fb4252b283effd0da4dc
|
3 |
+
size 639792909
|
Llama-2-7b-chat-hf-nudged-questions01/README.md
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: nf4
|
15 |
+
- bnb_4bit_use_double_quant: False
|
16 |
+
- bnb_4bit_compute_dtype: float16
|
17 |
+
### Framework versions
|
18 |
+
|
19 |
+
|
20 |
+
- PEFT 0.4.0
|
Llama-2-7b-chat-hf-nudged-questions01/adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "meta-llama/Llama-2-7b-chat-hf",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": true,
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 16,
|
11 |
+
"lora_dropout": 0.1,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 64,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"q_proj",
|
18 |
+
"o_proj",
|
19 |
+
"down_proj",
|
20 |
+
"up_proj",
|
21 |
+
"k_proj",
|
22 |
+
"v_proj",
|
23 |
+
"gate_proj"
|
24 |
+
],
|
25 |
+
"task_type": "CAUSAL_LM"
|
26 |
+
}
|
Llama-2-7b-chat-hf-nudged-questions01/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:28b070a71fc829fa8b8a96c4456078093ee4bfde65d4bc4b7e3af00e7444ca18
|
3 |
+
size 639792909
|
Llama-2-7b-chat-hf-nudged-questions02/README.md
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: nf4
|
15 |
+
- bnb_4bit_use_double_quant: False
|
16 |
+
- bnb_4bit_compute_dtype: float16
|
17 |
+
### Framework versions
|
18 |
+
|
19 |
+
|
20 |
+
- PEFT 0.4.0
|
Llama-2-7b-chat-hf-nudged-questions02/adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "meta-llama/Llama-2-7b-chat-hf",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": true,
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 16,
|
11 |
+
"lora_dropout": 0.1,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 64,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"q_proj",
|
18 |
+
"o_proj",
|
19 |
+
"down_proj",
|
20 |
+
"up_proj",
|
21 |
+
"k_proj",
|
22 |
+
"v_proj",
|
23 |
+
"gate_proj"
|
24 |
+
],
|
25 |
+
"task_type": "CAUSAL_LM"
|
26 |
+
}
|