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- adapter_model.bin +1 -1
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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- load_in_8bit: True
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- load_in_4bit: False
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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: fp4
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- bnb_4bit_use_double_quant: False
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- bnb_4bit_compute_dtype: float32
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### Framework versions
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- PEFT 0.5.0.dev0
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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:
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size 37854861
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version https://git-lfs.github.com/spec/v1
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oid sha256:19d34a2803b9998753f2009020c28a9dca4a9296757648c76d2ab3e231d8f4f9
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size 37854861
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