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Browse files- README.md +13 -1
- adapter_config.json +1 -1
- adapter_model.safetensors +3 -0
README.md
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## Training procedure
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### Framework versions
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- PEFT 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: True
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- load_in_4bit: False
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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: fp4
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- bnb_4bit_use_double_quant: False
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- bnb_4bit_compute_dtype: float32
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### Framework versions
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- PEFT 0.7.0.dev0
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adapter_config.json
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"auto_mapping": null,
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"base_model_name_or_path": "gpt2",
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"bias": "none",
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"fan_in_fan_out":
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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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"auto_mapping": null,
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"base_model_name_or_path": "gpt2",
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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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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8802cd4909708e829507f5f396ff766ffb67af377d28d55d44734584c47c5a81
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size 1182680
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