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Browse files- README.md +21 -0
- adapter_config.json +27 -0
- adapter_model.bin +3 -0
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: False
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- bnb_4bit_compute_dtype: float16
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### Framework versions
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- PEFT 0.5.0
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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": "mistralai/Mistral-7B-v0.1",
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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": 512,
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 256,
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"revision": null,
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"target_modules": [
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"q_proj",
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"k_proj",
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"v_proj",
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"out_proj",
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"gate_proj",
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"up_proj",
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"down_proj",
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"lm_head"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:492cd299422349137045cf66154a73ee417289ce9f9602b0775f9a82e87d8e41
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size 2453021394
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