| An alternative way of reducing the GPU memory usage of models is to use the `DeepSpeed ZeRO-3` optimization. | |
| With this, I have been able to load a 6b model (GPT-J 6B) with less than 6GB of VRAM. The speed of text generation is very decent and much better than what would be accomplished with `--auto-devices --gpu-memory 6`. | |
| As far as I know, DeepSpeed is only available for Linux at the moment. | |
| ### How to use it | |
| 1. Install DeepSpeed: | |
| ``` | |
| conda install -c conda-forge mpi4py mpich | |
| pip install -U deepspeed | |
| ``` | |
| 2. Start the web UI replacing `python` with `deepspeed --num_gpus=1` and adding the `--deepspeed` flag. Example: | |
| ``` | |
| deepspeed --num_gpus=1 server.py --deepspeed --chat --model gpt-j-6B | |
| ``` | |
| ### Learn more | |
| For more information, check out [this comment](https://github.com/oobabooga/text-generation-webui/issues/40#issuecomment-1412038622) by 81300, who came up with the DeepSpeed support in this web UI. |