mirror of
https://github.com/huggingface/text-generation-inference.git
synced 2025-09-09 11:24:53 +00:00
0f79162288
* chore: prepare version 3.3.5 * black * neuron: black * Update hf-xet in uv lockfile * Attempt to fix API doc check failure Add `error_type` where missing. * Pin redocly version * Sync redocly with Nix for now --------- Co-authored-by: Daniël de Kok <me@danieldk.eu>
1.1 KiB
1.1 KiB
Using TGI with Nvidia GPUs
TGI optimized models are supported on NVIDIA H100, A100, A10G and T4 GPUs with CUDA 12.2+. Note that you have to install NVIDIA Container Toolkit to use it.
For other NVIDIA GPUs, continuous batching will still apply, but some operations like flash attention and paged attention will not be executed.
TGI can be used on NVIDIA GPUs through its official docker image:
model=teknium/OpenHermes-2.5-Mistral-7B
volume=$PWD/data # share a volume with the Docker container to avoid downloading weights every run
docker run --gpus all --shm-size 64g -p 8080:80 -v $volume:/data \
ghcr.io/huggingface/text-generation-inference:3.3.5 \
--model-id $model
The launched TGI server can then be queried from clients, make sure to check out the Consuming TGI guide.