This is a GPTQ-for-LLaMa 4bit quantisation of changsung's alpaca-lora-65B

I also have 4bit and 2bit GGML files for cPU inference available here: TheBloke/alpaca-lora-65B-GGML.

I believe they will work on 2 x 24GB cards, and I hope that at least the 1024g file will work on an A100 40GB.

I can't guarantee that the two 128g files will work in only 40GB of VRAM.

I haven't specifically tested VRAM requirements yet but will aim to do so at some point. If you have any experiences to share, please do so in the comments.

If you want to try CPU inference instead, check out my GGML repo: TheBloke/alpaca-lora-65B-GGML.

Three files are provided, in separate branches.

Please see one of my more recent repos for instructions on loading GPTQ models in text-generation-webui.

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No model card was provided in changsung's original repository.

Based on the name, I assume this is the result of fine tuning using the original GPT 3.5 Alpaca dataset. It is unknown as to whether the original Stanford data was used, or the cleaned tloen/alpaca-lora variant.