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

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docs/GPTQ-models-(4-bit-mode).md
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@ -6,7 +6,7 @@ AutoGPTQ is the recommended way to create new quantized models: https://github.c
### Installation ### Installation
To load a model quantized with AutoGPTQ in the web UI, manual installation is currently necessary: To load a model quantized with AutoGPTQ in the web UI, you need to first manually install the AutoGPTQ library:
``` ```
conda activate textgen conda activate textgen
@ -14,11 +14,11 @@ git clone https://github.com/PanQiWei/AutoGPTQ.git && cd AutoGPTQ
pip install . pip install .
``` ```
You are going to need to have `nvcc` installed (see the [instructions below](https://github.com/oobabooga/text-generation-webui/blob/main/docs/GPTQ-models-(4-bit-mode).md#step-0-install-nvcc)). The last command requires `nvcc` to be installed (see the [instructions below](https://github.com/oobabooga/text-generation-webui/blob/main/docs/GPTQ-models-(4-bit-mode).md#step-0-install-nvcc)).
### Usage ### Usage
Place the output folder generated by AutoGPTQ in your `models/` folder and load it with the `--autogptq` flag: When you quantize a model using AutoGPTQ, a folder containing a filed called `quantize_config.json` will be generated. Place that folder inside your `models/` folder and load it with the `--autogptq` flag:
``` ```
python server.py --autogptq --model model_name python server.py --autogptq --model model_name