From 261684f92eed434480281e0584e5c74c9d25aef6 Mon Sep 17 00:00:00 2001 From: oobabooga <112222186+oobabooga@users.noreply.github.com> Date: Wed, 21 Dec 2022 16:49:30 -0300 Subject: [PATCH] Update README.md --- README.md | 19 ++++++++++++++++++- 1 file changed, 18 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index ac775212..f8029960 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,8 @@ # text-generation-webui -A gradio webui for running large language models locally. Supports gpt-j-6B, gpt-neox-20b, opt, galactica, and many others. + +A gradio webui for running large language models locally. Supports gpt-j-6B, gpt-neox-20b, opt, galactica, and many others. + +Its goal is to become the [AUTOMATIC1111/stable-diffusion-webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui) of text generation. ![webui screenshot](https://github.com/oobabooga/text-generation-webui/raw/main/webui.png) @@ -7,6 +10,8 @@ A gradio webui for running large language models locally. Supports gpt-j-6B, gpt conda env create -f environment.yml +This installs the CUDA version of pytorch, which assumes that you have a NVIDIA GPU. If you want to run this on an AMD GPU, you should install the ROCM version of pytorch instead. + ## Downloading models Models should be placed under `models/model-name`. @@ -24,6 +29,18 @@ The files that you need to download and put under `models/gpt-j-6B` are the json * Torrent: [16-bit](https://archive.org/details/gpt4chan_model_float16) / [32-bit](https://archive.org/details/gpt4chan_model) * Direct download: [16-bit](https://theswissbay.ch/pdf/_notpdf_/gpt4chan_model_float16/) / [32-bit](https://theswissbay.ch/pdf/_notpdf_/gpt4chan_model/) +## Converting to pytorch + +This webui allows you to switch between different models on the fly, so it must be fast to load the models from disk. + +One way to make this process about 10x faster is to convert the models to pytorch format using the script `convert-to-torch.py`. Create a folder called `torch-dumps` and then make the conversion with: + + python convert-to-torch.py models/model-name/ + +The output model will be saved to `torch-dumps/model-name.pt`. This is the default way to load all models except for `gpt-neox-20b`, `opt-13b`, `OPT-13B-Erebus`, `gpt-j-6B`, and `flan-t5`. I don't remember why these models are exceptions. + +If I get enough ⭐s on this repository, I will make the process of loading models more transparent and straightforward. + ## Starting the webui conda activate textgen