mirror of
https://github.com/wassname/alpaca_convert.git
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deep1
65 lines
1.9 KiB
Markdown
65 lines
1.9 KiB
Markdown
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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
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How do we do this?
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1. lora -> hf
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- [tloen/alpaca-lora/export_hf_checkpoint.py](https://github.com/tloen/alpaca-lora/blob/main/export_hf_checkpoint.py)
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2. hf -> 4bit
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- using [GPTQ-for-LLaMa/llama.py](https://github.com/qwopqwop200/GPTQ-for-LLaMa/blob/triton/llama.py)
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`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`
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3. 4bit -> ggml
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- [llama.cpp/convert-pth-to-ggml.py](https://github.com/ggerganov/llama.cpp/blob/master/convert-gptq-to-ggml.py)
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# TODO
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- [x] lora -> hf
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- [ ] test this
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- [ ] hf -> 4bit
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- [ ] 4bit to -> ggml
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- [ ] test perplexity on llama and alpaca type prompts too! maybe use eluther evals
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# setup env
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```sh
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conda create -n textgen3 python=3.10.9
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conda activate textgen3
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mamba install pytorch torchvision torchaudio pytorch-cuda=11.7 cudatoolkit-dev==11.7 cudatoolkit=11.7 -c pytorch -c nvidia -c conda-forge
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pip install -r requirements.txt
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pip install -e .
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```
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# download models
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```sh
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huggingface-cli login
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# download base models
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python scripts/download-model.py decapoda-research/llama-7b-hf
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# python scripts/download-model.py decapoda-research/llama-13b-hf
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# python scripts/download-model.py decapoda-research/llama-30b-hf
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# download loras
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python scripts/download-model.py tloen/alpaca-lora-7b
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# python scripts/download-model.py chansung/alpaca-lora-13b
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# python scripts/download-model.py chansung/alpaca-lora-30b
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```
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# convert models
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```sh
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# convert
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python scripts/export_hf_checkpoint.py ./data/models/llama-7b-hf -l ./data/loras/tloen_alpaca-lora-7b
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# test
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python scripts/test_01_delora.py models/tloen_alpaca-lora-7b-delorified
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```
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# Links
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- https://github.com/s4rduk4r/alpaca_lora_4bit_readme/blob/main/README.md
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