初始化项目,由ModelHub XC社区提供模型
Model: changkaiyan/ChipGPT-Llama2-SFT-7B Source: Original Platform
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verilogrepair_peft/README.md
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---
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library_name: peft
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base_model:
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- shakechen/Llama-2-7b-hf
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---
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# ChipGPT-FT-Repair
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This repository contains the code for the fine-tuning of the ChipGPT model using the PEFT library. The fine-tuning process was performed using the `bitsandbytes` quantization method.
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The foundation model is Llama 2.0-7B
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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: 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 0.7.2.dev0
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- PEFT 0.6.0.dev0
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