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Browse files- README.md +31 -13
- adapter_model.bin +2 -2
- checkpoint-300/README.md +7 -6
- checkpoint-300/optimizer.pt +2 -2
- checkpoint-300/rng_state.pth +1 -1
- checkpoint-300/scheduler.pt +1 -1
- checkpoint-300/trainer_state.json +888 -885
- checkpoint-300/training_args.bin +1 -1
- training_args.bin +1 -1
README.md
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---
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- yahma/alpaca-cleaned
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language:
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- en
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license: apache-2.0
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tags:
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- pytorch
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- causal-lm
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- llama2
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- fine-tuning
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- alpaca
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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: True
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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: True
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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_model.bin
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checkpoint-300/README.md
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The following `bitsandbytes` quantization config was used during training:
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### Framework versions
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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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- bnb_4bit_use_double_quant: True
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### Framework versions
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