New weights
#2
by
ErikQQY
- opened
- README.md +25 -0
- adapter_config.json +1 -1
- adapter_model.bin +1 -1
README.md
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@@ -3,7 +3,32 @@ library_name: peft
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---
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## Training procedure
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### Framework versions
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- PEFT 0.5.0
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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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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 0.5.0
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- PEFT 0.5.0
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adapter_config.json
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@@ -1,6 +1,6 @@
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{
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"auto_mapping": null,
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-
"base_model_name_or_path": "
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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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{
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"auto_mapping": null,
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"base_model_name_or_path": "baichuan-inc/Baichuan-13B-Base",
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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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adapter_model.bin
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 111718541
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:09cf26644a3c62cf08ea79578ad6ec255786d8be31abcdc650ca2a1e0b4efdbe
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size 111718541
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