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Update GPTQ-models-(4-bit-mode).md

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@ -86,7 +86,7 @@ conda install -c conda-forge cudatoolkit-dev
The command above takes some 10 minutes to run and shows no progress bar or updates along the way.
You are going to need to have a C++ compiler installed. On Linux, `sudo apt install build-essential` or equivalent is enough.
You are also going to need to have a C++ compiler installed. On Linux, `sudo apt install build-essential` or equivalent is enough.
If you're using an older version of CUDA toolkit (e.g. 11.7) but the latest version of `gcc` and `g++` (12.0+), you should downgrade with: `conda install -c conda-forge gxx==11.3.0`. Kernel compilation will fail otherwise.
@ -97,7 +97,9 @@ cd repositories/GPTQ-for-LLaMa
python setup_cuda.py install
```
### Pre-converted weights
### Getting pre-converted LLaMA weights
These are models that you can simply download and place in your `models` folder.
* 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