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9883f3b40e
* update doc with intel cpu part Signed-off-by: Wang, Yi A <yi.a.wang@intel.com> * Apply suggestions from code review we do not use latest ever in documentation, it causes too many issues for users. Release number get update on every release. --------- Signed-off-by: Wang, Yi A <yi.a.wang@intel.com> Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
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Using TGI with Intel GPUs
TGI optimized models are supported on Intel Data Center GPU Max1100, Max1550, the recommended usage is through Docker.
On a server powered by Intel GPUs, TGI can be launched with the following command:
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 --rm --privileged --cap-add=sys_nice \
--device=/dev/dri \
--ipc=host --shm-size 1g --net host -v $volume:/data \
ghcr.io/huggingface/text-generation-inference:2.2.0-intel-xpu \
--model-id $model --cuda-graphs 0
Using TGI with Intel CPUs
Intel® Extension for PyTorch (IPEX) also provides further optimizations for Intel CPUs. The IPEX provides optimization operations such as flash attention, page attention, Add + LayerNorm, ROPE and more.
On a server powered by Intel CPU, TGI can be launched with the following command:
model=teknium/OpenHermes-2.5-Mistral-7B
volume=$PWD/data # share a volume with the Docker container to avoid downloading weights every run
docker run --rm --privileged --cap-add=sys_nice \
--device=/dev/dri \
--ipc=host --shm-size 1g --net host -v $volume:/data \
ghcr.io/huggingface/text-generation-inference:2.2.0-intel-cpu \
--model-id $model --cuda-graphs 0
The launched TGI server can then be queried from clients, make sure to check out the Consuming TGI guide.