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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?
- lora -> hf
- 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
- using GPTQ-for-LLaMa/llama.py
- 4bit -> ggml
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
pip install -r requirements.txt
pip install -e .
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
# download
python scripts/download-model.py tloen/alpaca-lora-7b
python scripts/download-model.py decapoda-research/llama-7b-hf
# convert
python scripts/export_hf_checkpoint.py ./models/llama-7b-hf -l loras/tloen_alpaca-lora-7b
# test
python scripts/test_01_delora.py models/tloen_alpaca-lora-7b-delorified
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