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ModelHub XC 1a4479c619 初始化项目,由ModelHub XC社区提供模型
Model: changkaiyan/ChipGPT-Llama2-SFT-7B
Source: Original Platform
2026-05-27 15:22:21 +08:00

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---
library_name: peft
base_model:
- shakechen/Llama-2-7b-hf
---
# ChipGPT-FT-Repair
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.
The foundation model is Llama 2.0-7B
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: True
- load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: fp4
- bnb_4bit_use_double_quant: False
- bnb_4bit_compute_dtype: float32
### Framework versions
- PEFT 0.7.2.dev0
- PEFT 0.6.0.dev0