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Upload model
Browse files- README.md +46 -0
- adapter_config.json +21 -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: gptq
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- bits: 4
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- tokenizer: None
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- dataset: None
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- group_size: 128
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- damp_percent: 0.01
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- desc_act: False
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- sym: True
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- true_sequential: True
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- use_cuda_fp16: False
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- model_seqlen: None
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- block_name_to_quantize: None
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- module_name_preceding_first_block: None
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- batch_size: 1
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- pad_token_id: None
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- disable_exllama: True
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The following `bitsandbytes` quantization config was used during training:
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- quant_method: gptq
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- bits: 4
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- tokenizer: None
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- dataset: None
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- group_size: 128
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- damp_percent: 0.01
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- desc_act: False
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- sym: True
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- true_sequential: True
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- use_cuda_fp16: False
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- model_seqlen: None
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- block_name_to_quantize: None
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- module_name_preceding_first_block: None
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- batch_size: 1
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- pad_token_id: None
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- disable_exllama: True
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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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{
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"auto_mapping": null,
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"base_model_name_or_path": "TheBloke/Llama-2-7b-Chat-GPTQ",
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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": 16,
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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": 64,
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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": "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:ef5cea208689d4d49a88c12461ac2113d1340d4443f5f18fa0e779fe3dd87e37
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size 134264202
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