My personal repo to convert models from Lora to huggingface/ggml/gptq 4bit so I can run them in normal text-webui and llama.cpp

How do we do this?

1. lora -> hf
   • tloen/alpaca-lora/export_hf_checkpoint.py
2. hf -> 4bit
   • using GPTQ-for-LLaMa/llama.py CUDA_VISIBLE_DEVICES=0 python llama.py ./llama-hf/llama-7b c4 --wbits 4 --true-sequential --act-order --groupsize 128 --save llama7b-4bit-128g.pt
3. 4bit -> ggml
   • llama.cpp/convert-pth-to-ggml.py

TODO

• lora -> hf
  • test this
• hf -> 4bit
• 4bit to -> ggml

setup env

conda create -n textgen3 python=3.10.9
conda activate textgen3
mamba install pytorch torchvision torchaudio pytorch-cuda=11.7 cudatoolkit-dev==11.7  cudatoolkit=11.7 -c pytorch -c nvidia  -c conda-forge 

download models

# # base models.... FIXME


# download loras
python scripts/download-model.py chansung/alpaca-lora-30b
python scripts/download-model.py chansung/alpaca-lora-13b
python scripts/download-model.py tloen/alpaca-lora-7b

convert models

python scripts/export_hf_checkpoint.py ./models/llama-7b-hf -l loras/tloen_alpaca-lora-7b

Links

• https://github.com/s4rduk4r/alpaca_lora_4bit_readme/blob/main/README.md