Upload 8 files
Browse files- README.md +19 -1
- adapter_config.json +26 -0
- adapter_model.bin +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +963 -0
- training_args.bin +3 -0
README.md
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---
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-
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---
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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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### Framework versions
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- PEFT 0.6.0.dev0
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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": "meta-llama/Llama-2-7b-chat-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": 32,
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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": 16,
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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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"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 sha256:5e3d6880cd69c7aeb3aeb01eaea63c28ea8835f49a9ead2e9ec8349a52b394df
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size 145579733
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:f33b3e3b9c2ffeb30b82df6da5f9614067387a87a58e1885430c46cfe4337280
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size 73315111
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rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:d20af40dd4fbea6f76d110ec57f96d9e3c7627556fbb7d2f524747a3e6078ddf
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size 14575
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:febb56fdc422fe2d3814d235444f16c27dac1fa825fa0410af0c90b446ddd9d6
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size 627
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trainer_state.json
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training_args.bin
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