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Add section about TGI on Gaudi in README

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README.md
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@ -15,7 +15,7 @@
</a>
</div>
A Rust, Python and gRPC server for text generation inference. Used in production at [HuggingFace](https://huggingface.co)
A Rust, Python and gRPC server for text generation inference. Used in production at [HuggingFace](https://huggingface.co)
to power LLMs api-inference widgets.
## Table of contents
@ -135,7 +135,7 @@ The Swagger UI is also available at: [https://huggingface.github.io/text-generat
### Using a private or gated model
You have the option to utilize the `HUGGING_FACE_HUB_TOKEN` environment variable for configuring the token employed by
You have the option to utilize the `HUGGING_FACE_HUB_TOKEN` environment variable for configuring the token employed by
`text-generation-inference`. This allows you to gain access to protected resources.
For example, if you want to serve the gated Llama V2 model variants:
@ -146,7 +146,7 @@ For example, if you want to serve the gated Llama V2 model variants:
or with Docker:
```shell
```shell
model=meta-llama/Llama-2-7b-chat-hf
volume=$PWD/data # share a volume with the Docker container to avoid downloading weights every run
token=<your cli READ token>
@ -195,7 +195,7 @@ Python 3.9, e.g. using `conda`:
```shell
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
conda create -n text-generation-inference python=3.9
conda create -n text-generation-inference python=3.9
conda activate text-generation-inference
```
@ -221,7 +221,7 @@ Then run:
```shell
BUILD_EXTENSIONS=True make install # Install repository and HF/transformer fork with CUDA kernels
make run-falcon-7b-instruct
make run-falcon-7b-instruct
```
**Note:** on some machines, you may also need the OpenSSL libraries and gcc. On Linux machines, run:
@ -232,7 +232,7 @@ sudo apt-get install libssl-dev gcc -y
### CUDA Kernels
The custom CUDA kernels are only tested on NVIDIA A100s. If you have any installation or runtime issues, you can remove
The custom CUDA kernels are only tested on NVIDIA A100s. If you have any installation or runtime issues, you can remove
the kernels by using the `DISABLE_CUSTOM_KERNELS=True` environment variable.
Be aware that the official Docker image has them enabled by default.
@ -242,7 +242,7 @@ Be aware that the official Docker image has them enabled by default.
### Run
```shell
make run-falcon-7b-instruct
make run-falcon-7b-instruct
```
### Quantization
@ -273,3 +273,9 @@ make rust-tests
# integration tests
make integration-tests
```
## Other supported hardware
TGI is also supported on the following AI hardware accelerators:
- *Habana first-gen Gaudi and Gaudi2:* checkout [here](https://github.com/huggingface/optimum-habana/tree/main/text-generation-inference) how to serve models with TGI on Gaudi and Gaudi2 with [Optimum Habana](https://huggingface.co/docs/optimum/habana/index)