Edit model card

Training procedure

The following bitsandbytes quantization config was used during training:

  • load_in_8bit: False
  • load_in_4bit: True
  • 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: nf4
  • bnb_4bit_use_double_quant: True
  • bnb_4bit_compute_dtype: float16

Framework versions

  • PEFT 0.4.0.dev0

使用方法

git clone https://huggingface.co/Laurie/baichuan-7b-qlora-moss
cd baichuan-7b-qlora-moss
python src/web_demo.py \
  --model_name_or_path baichuan-inc/baichuan-7B \
  --checkpoint_dir .
Downloads last month
3
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train Laurie/baichuan-7b-qlora-moss