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Browse files- README.md +0 -16
- adapter_config.json +1 -1
- adapter_model.bin +2 -2
README.md
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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: float16
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- bnb_4bit_quant_storage: uint8
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- load_in_4bit: True
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- load_in_8bit: False
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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_8bit: False
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### Framework versions
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- PEFT 0.4.0
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- PEFT 0.4.0
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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_8bit: False
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### Framework versions
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- PEFT 0.4.0
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adapter_config.json
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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": "llm-jp/llm-jp-3-13b",
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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
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:9a22955a3c2937bd667f59c48736b1698afe1a117a47d8d78b36c4c06aeacea5
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size 500897546
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