Upload model
Browse files- README.md +34 -0
- adapter_config.json +24 -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: 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.dev0
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- PEFT 0.5.0.dev0
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adapter_config.json
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{
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"auto_mapping": {
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"base_model_class": "LlamaForSequenceClassification",
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"parent_library": "transformers.models.llama.modeling_llama"
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},
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"base_model_name_or_path": "meta-llama/Llama-2-7b-hf",
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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": 4,
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"lora_dropout": 0.1,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 4,
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": null
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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 sha256:871bb044bfa3806d12e8b3f001706747b893fc127ddf44f0307d456e1dc911cf
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size 8434381
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