Add prompt-b twochar
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- prompt-b/twochar/README.md +21 -0
- prompt-b/twochar/adapter_config.json +26 -0
- prompt-b/twochar/adapter_model.bin +3 -0
- prompt-b/twochar/added_tokens.json +3 -0
- prompt-b/twochar/checkpoint-100/README.md +21 -0
- prompt-b/twochar/checkpoint-100/adapter_config.json +26 -0
- prompt-b/twochar/checkpoint-100/adapter_model.bin +3 -0
- prompt-b/twochar/checkpoint-100/adapter_model/README.md +21 -0
- prompt-b/twochar/checkpoint-100/adapter_model/adapter_config.json +26 -0
- prompt-b/twochar/checkpoint-100/adapter_model/adapter_model.bin +3 -0
- prompt-b/twochar/checkpoint-100/optimizer.pt +3 -0
- prompt-b/twochar/checkpoint-100/rng_state_0.pth +3 -0
- prompt-b/twochar/checkpoint-100/rng_state_1.pth +3 -0
- prompt-b/twochar/checkpoint-100/rng_state_2.pth +3 -0
- prompt-b/twochar/checkpoint-100/rng_state_3.pth +3 -0
- prompt-b/twochar/checkpoint-100/rng_state_4.pth +3 -0
- prompt-b/twochar/checkpoint-100/rng_state_5.pth +3 -0
- prompt-b/twochar/checkpoint-100/rng_state_6.pth +3 -0
- prompt-b/twochar/checkpoint-100/rng_state_7.pth +3 -0
- prompt-b/twochar/checkpoint-100/scheduler.pt +3 -0
- prompt-b/twochar/checkpoint-100/trainer_state.json +659 -0
- prompt-b/twochar/checkpoint-100/training_args.bin +3 -0
- prompt-b/twochar/checkpoint-150/README.md +21 -0
- prompt-b/twochar/checkpoint-150/adapter_config.json +26 -0
- prompt-b/twochar/checkpoint-150/adapter_model.bin +3 -0
- prompt-b/twochar/checkpoint-150/adapter_model/README.md +21 -0
- prompt-b/twochar/checkpoint-150/adapter_model/adapter_config.json +26 -0
- prompt-b/twochar/checkpoint-150/adapter_model/adapter_model.bin +3 -0
- prompt-b/twochar/checkpoint-150/optimizer.pt +3 -0
- prompt-b/twochar/checkpoint-150/rng_state_0.pth +3 -0
- prompt-b/twochar/checkpoint-150/rng_state_1.pth +3 -0
- prompt-b/twochar/checkpoint-150/rng_state_2.pth +3 -0
- prompt-b/twochar/checkpoint-150/rng_state_3.pth +3 -0
- prompt-b/twochar/checkpoint-150/rng_state_4.pth +3 -0
- prompt-b/twochar/checkpoint-150/rng_state_5.pth +3 -0
- prompt-b/twochar/checkpoint-150/rng_state_6.pth +3 -0
- prompt-b/twochar/checkpoint-150/rng_state_7.pth +3 -0
- prompt-b/twochar/checkpoint-150/scheduler.pt +3 -0
- prompt-b/twochar/checkpoint-150/trainer_state.json +975 -0
- prompt-b/twochar/checkpoint-150/training_args.bin +3 -0
- prompt-b/twochar/checkpoint-200/README.md +21 -0
- prompt-b/twochar/checkpoint-200/adapter_config.json +26 -0
- prompt-b/twochar/checkpoint-200/adapter_model.bin +3 -0
- prompt-b/twochar/checkpoint-200/adapter_model/README.md +21 -0
- prompt-b/twochar/checkpoint-200/adapter_model/adapter_config.json +26 -0
- prompt-b/twochar/checkpoint-200/adapter_model/adapter_model.bin +3 -0
- prompt-b/twochar/checkpoint-200/optimizer.pt +3 -0
- prompt-b/twochar/checkpoint-200/rng_state_0.pth +3 -0
- prompt-b/twochar/checkpoint-200/rng_state_1.pth +3 -0
- prompt-b/twochar/checkpoint-200/rng_state_2.pth +3 -0
prompt-b/twochar/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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- quant_method: bitsandbytes
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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: True
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- bnb_4bit_compute_dtype: bfloat16
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### Framework versions
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- PEFT 0.6.0.dev0
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prompt-b/twochar/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-hf",
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"bias": "none",
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"fan_in_fan_out": null,
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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": 0.01,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"revision": null,
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"target_modules": [
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"o_proj",
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"v_proj",
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"down_proj",
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"up_proj",
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"q_proj",
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"k_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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prompt-b/twochar/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:7d91a76c67c2c30d3fe135aecd598332808db8738437b03cde99f20ed724b6a5
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size 125374989
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prompt-b/twochar/added_tokens.json
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{
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"[PAD]": 32000
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}
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prompt-b/twochar/checkpoint-100/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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5 |
+
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6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
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- quant_method: bitsandbytes
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9 |
+
- load_in_8bit: False
|
10 |
+
- 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: True
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- bnb_4bit_compute_dtype: bfloat16
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### Framework versions
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19 |
+
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+
|
21 |
+
- PEFT 0.6.0.dev0
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prompt-b/twochar/checkpoint-100/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-hf",
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"bias": "none",
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"fan_in_fan_out": null,
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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": 0.01,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"revision": null,
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"target_modules": [
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"o_proj",
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"v_proj",
|
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"down_proj",
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"up_proj",
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"q_proj",
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"k_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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prompt-b/twochar/checkpoint-100/adapter_model.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:580b1096ca85b6bdd0f09aa9a4f6dd811138ea9fcf6b6decdbb1b6a49b4f63a1
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size 125374989
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prompt-b/twochar/checkpoint-100/adapter_model/README.md
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---
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library_name: peft
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---
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4 |
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## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- quant_method: bitsandbytes
|
9 |
+
- load_in_8bit: False
|
10 |
+
- load_in_4bit: True
|
11 |
+
- llm_int8_threshold: 6.0
|
12 |
+
- llm_int8_skip_modules: None
|
13 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
14 |
+
- llm_int8_has_fp16_weight: False
|
15 |
+
- bnb_4bit_quant_type: nf4
|
16 |
+
- bnb_4bit_use_double_quant: True
|
17 |
+
- bnb_4bit_compute_dtype: bfloat16
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18 |
+
### Framework versions
|
19 |
+
|
20 |
+
|
21 |
+
- PEFT 0.6.0.dev0
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prompt-b/twochar/checkpoint-100/adapter_model/adapter_config.json
ADDED
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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 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": null,
|
6 |
+
"inference_mode": true,
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7 |
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"init_lora_weights": true,
|
8 |
+
"layers_pattern": null,
|
9 |
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"layers_to_transform": null,
|
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+
"lora_alpha": 16,
|
11 |
+
"lora_dropout": 0.01,
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+
"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"revision": null,
|
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"target_modules": [
|
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"o_proj",
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"v_proj",
|
19 |
+
"down_proj",
|
20 |
+
"up_proj",
|
21 |
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"q_proj",
|
22 |
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"k_proj",
|
23 |
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"gate_proj"
|
24 |
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],
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"task_type": "CAUSAL_LM"
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}
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prompt-b/twochar/checkpoint-100/adapter_model/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:580b1096ca85b6bdd0f09aa9a4f6dd811138ea9fcf6b6decdbb1b6a49b4f63a1
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size 125374989
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prompt-b/twochar/checkpoint-100/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:32bdb3245ed186baa39f6e598aa0811cfebf0ddfd240d79b447a4815fffcb77a
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size 250681597
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prompt-b/twochar/checkpoint-100/rng_state_0.pth
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version https://git-lfs.github.com/spec/v1
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size 21687
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prompt-b/twochar/checkpoint-100/rng_state_1.pth
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version https://git-lfs.github.com/spec/v1
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size 21687
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prompt-b/twochar/checkpoint-100/rng_state_2.pth
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prompt-b/twochar/checkpoint-100/rng_state_3.pth
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prompt-b/twochar/checkpoint-100/rng_state_4.pth
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prompt-b/twochar/checkpoint-100/rng_state_5.pth
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version https://git-lfs.github.com/spec/v1
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prompt-b/twochar/checkpoint-100/rng_state_6.pth
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version https://git-lfs.github.com/spec/v1
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size 21687
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prompt-b/twochar/checkpoint-100/rng_state_7.pth
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version https://git-lfs.github.com/spec/v1
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size 21687
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prompt-b/twochar/checkpoint-100/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:b8c8c5e17820ade3bd0f83be62a888f354614fa9e9626e94814a99519af6a262
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size 627
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prompt-b/twochar/checkpoint-100/trainer_state.json
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version https://git-lfs.github.com/spec/v1
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prompt-b/twochar/checkpoint-150/README.md
ADDED
@@ -0,0 +1,21 @@
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---
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2 |
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library_name: peft
|
3 |
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---
|
4 |
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## Training procedure
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5 |
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|
6 |
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|
7 |
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The following `bitsandbytes` quantization config was used during training:
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8 |
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- quant_method: bitsandbytes
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9 |
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- load_in_8bit: False
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10 |
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- load_in_4bit: True
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- llm_int8_threshold: 6.0
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### Framework versions
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19 |
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|
20 |
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|
21 |
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- PEFT 0.6.0.dev0
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|
1 |
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{
|
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|
3 |
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|
4 |
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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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"r": 8,
|
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|
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|
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|
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|
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|
21 |
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"q_proj",
|
22 |
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|
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|
24 |
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],
|
25 |
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"task_type": "CAUSAL_LM"
|
26 |
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}
|
prompt-b/twochar/checkpoint-150/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
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|
1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:21cfb4c53d8bbfa9e3d21adc5ddae32d060c1ffc0bb385777e3146e094b589e4
|
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size 125374989
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prompt-b/twochar/checkpoint-150/adapter_model/README.md
ADDED
@@ -0,0 +1,21 @@
|
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|
1 |
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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 |
+
- quant_method: bitsandbytes
|
9 |
+
- load_in_8bit: False
|
10 |
+
- load_in_4bit: True
|
11 |
+
- llm_int8_threshold: 6.0
|
12 |
+
- llm_int8_skip_modules: None
|
13 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
14 |
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- llm_int8_has_fp16_weight: False
|
15 |
+
- bnb_4bit_quant_type: nf4
|
16 |
+
- bnb_4bit_use_double_quant: True
|
17 |
+
- bnb_4bit_compute_dtype: bfloat16
|
18 |
+
### Framework versions
|
19 |
+
|
20 |
+
|
21 |
+
- PEFT 0.6.0.dev0
|
prompt-b/twochar/checkpoint-150/adapter_model/adapter_config.json
ADDED
@@ -0,0 +1,26 @@
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|
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|
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"peft_type": "LORA",
|
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"r": 8,
|
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"revision": null,
|
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"target_modules": [
|
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|
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|
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|
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|
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"q_proj",
|
22 |
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"k_proj",
|
23 |
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"gate_proj"
|
24 |
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],
|
25 |
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"task_type": "CAUSAL_LM"
|
26 |
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}
|
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@@ -0,0 +1,3 @@
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size 125374989
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version https://git-lfs.github.com/spec/v1
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prompt-b/twochar/checkpoint-150/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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