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Update LLaMA links and info

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oobabooga 2023-07-17 12:51:01 -07:00
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docs/GPTQ-models-(4-bit-mode).md
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@ -142,12 +142,25 @@ python setup_cuda.py install
### Getting pre-converted LLaMA weights
These are models that you can simply download and place in your `models` folder.
* Direct download (recommended):
* Converted without `group-size` (better for the 7b model): https://github.com/oobabooga/text-generation-webui/pull/530#issuecomment-1483891617
* Converted with `group-size` (better from 13b upwards): https://github.com/oobabooga/text-generation-webui/pull/530#issuecomment-1483941105
https://huggingface.co/Neko-Institute-of-Science/LLaMA-7B-4bit-128g
⚠️ The tokenizer files in the sources above may be outdated. Make sure to obtain the universal LLaMA tokenizer as described [here](https://github.com/oobabooga/text-generation-webui/blob/main/docs/LLaMA-model.md#option-1-pre-converted-weights).
https://huggingface.co/Neko-Institute-of-Science/LLaMA-13B-4bit-128g
https://huggingface.co/Neko-Institute-of-Science/LLaMA-30B-4bit-128g
https://huggingface.co/Neko-Institute-of-Science/LLaMA-65B-4bit-128g
These models were converted with `desc_act=True`. They work just fine with ExLlama. For AutoGPTQ, they will only work on Linux with the `triton` option checked.
* Torrent:
https://github.com/oobabooga/text-generation-webui/pull/530#issuecomment-1483891617
https://github.com/oobabooga/text-generation-webui/pull/530#issuecomment-1483941105
These models were converted with `desc_act=False`. As such, they are less accurate, but they work with AutoGPTQ on Windows. The `128g` versions are better from 13b upwards, and worse for 7b. The tokenizer files in the torrents are outdated, in particular the files called `tokenizer_config.json` and `special_tokens_map.json`. Here you can find those files: https://huggingface.co/oobabooga/llama-tokenizer
### Starting the web UI: