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oobabooga 2023-01-13 01:27:29 -03:00
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README.md
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@ -21,19 +21,29 @@ Its goal is to become the [AUTOMATIC1111/stable-diffusion-webui](https://github.
## Installation
Create a conda environment:
1. You need to have the conda environment manager installed into your system. If you don't have it already, get it here: [miniconda download](https://docs.conda.io/en/latest/miniconda.html).
2. Then open a terminal window and create a conda environment:
conda create -n textgen
conda activate textgen
Install the appropriate pytorch for your GPU. For NVIDIA GPUs, this should work:
3. Install the appropriate pytorch. For NVIDIA GPUs, this should work:
conda install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia
Install the requirements:
For AMD GPUs, you need the ROCm version of pytorch. For running exclusively on the CPU, you just need the stock pytorch and this should probably work:
conda install pytorch torchvision torchaudio -c pytorch
4. Clone or download this repository, and then `cd` into its directory from your terminal window.
5. Install the required Python libraries:
pip install -r requirements.txt
After these steps, you should be able to start the webui, but first you need to download some model to load.
## Downloading models
Models should be placed under `models/model-name`. For instance, `models/gpt-j-6B` for [gpt-j-6B](https://huggingface.co/EleutherAI/gpt-j-6B/tree/main).
@ -75,6 +85,8 @@ Then follow these steps to install:
python download-model.py EleutherAI/gpt-j-6B
```
You don't really need all of GPT-J's files, just the tokenizer files, but you might as well download the whole thing. Those files will be automatically detected when you attempt to load gpt4chan.
#### Converting to pytorch (optional)
The script `convert-to-torch.py` allows you to convert models to .pt format, which is about 10x faster to load: