library_name, base_model
| library_name | base_model | |
|---|---|---|
| peft |
|
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