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Bumping to 2.1
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Narsil committed Jun 27, 2024
1 parent bcfcd47 commit d8185ad
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2 changes: 1 addition & 1 deletion Cargo.toml
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Expand Up @@ -9,7 +9,7 @@ members = [
resolver = "2"

[workspace.package]
version = "2.0.5-dev0"
version = "2.1.1-dev0"
edition = "2021"
authors = ["Olivier Dehaene"]
homepage = "https://github.com/huggingface/text-generation-inference"
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8 changes: 5 additions & 3 deletions README.md
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Expand Up @@ -75,9 +75,11 @@ For a detailed starting guide, please see the [Quick Tour](https://huggingface.c

```shell
model=HuggingFaceH4/zephyr-7b-beta
volume=$PWD/data # share a volume with the Docker container to avoid downloading weights every run
# share a volume with the Docker container to avoid downloading weights every run
volume=$PWD/data

docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:2.0 --model-id $model
docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data \
ghcr.io/huggingface/text-generation-inference:2.1.0 --model-id $model
```

And then you can make requests like
Expand All @@ -91,7 +93,7 @@ curl 127.0.0.1:8080/generate_stream \

**Note:** To use NVIDIA GPUs, you need to install the [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html). We also recommend using NVIDIA drivers with CUDA version 12.2 or higher. For running the Docker container on a machine with no GPUs or CUDA support, it is enough to remove the `--gpus all` flag and add `--disable-custom-kernels`, please note CPU is not the intended platform for this project, so performance might be subpar.

**Note:** TGI supports AMD Instinct MI210 and MI250 GPUs. Details can be found in the [Supported Hardware documentation](https://huggingface.co/docs/text-generation-inference/supported_models#supported-hardware). To use AMD GPUs, please use `docker run --device /dev/kfd --device /dev/dri --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:2.0-rocm --model-id $model` instead of the command above.
**Note:** TGI supports AMD Instinct MI210 and MI250 GPUs. Details can be found in the [Supported Hardware documentation](https://huggingface.co/docs/text-generation-inference/supported_models#supported-hardware). To use AMD GPUs, please use `docker run --device /dev/kfd --device /dev/dri --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:2.1.0-rocm --model-id $model` instead of the command above.

To see all options to serve your models (in the [code](https://github.com/huggingface/text-generation-inference/blob/main/launcher/src/main.rs) or in the cli):
```
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2 changes: 1 addition & 1 deletion docs/source/installation_amd.md
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Expand Up @@ -11,7 +11,7 @@ volume=$PWD/data # share a volume with the Docker container to avoid downloading
docker run --rm -it --cap-add=SYS_PTRACE --security-opt seccomp=unconfined \
--device=/dev/kfd --device=/dev/dri --group-add video \
--ipc=host --shm-size 256g --net host -v $volume:/data \
ghcr.io/huggingface/text-generation-inference:2.0.4-rocm \
ghcr.io/huggingface/text-generation-inference:2.1.0-rocm \
--model-id $model
```

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2 changes: 1 addition & 1 deletion docs/source/installation_nvidia.md
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Expand Up @@ -11,7 +11,7 @@ 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:2.0.4 \
ghcr.io/huggingface/text-generation-inference:2.1.0 \
--model-id $model
```

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4 changes: 2 additions & 2 deletions docs/source/quicktour.md
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Expand Up @@ -11,7 +11,7 @@ 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 1g -p 8080:80 -v $volume:/data \
ghcr.io/huggingface/text-generation-inference:2.0.4 \
ghcr.io/huggingface/text-generation-inference:2.1.0 \
--model-id $model
```

Expand Down Expand Up @@ -88,7 +88,7 @@ curl 127.0.0.1:8080/generate \
To see all possible deploy flags and options, you can use the `--help` flag. It's possible to configure the number of shards, quantization, generation parameters, and more.

```bash
docker run ghcr.io/huggingface/text-generation-inference:2.0.4 --help
docker run ghcr.io/huggingface/text-generation-inference:2.1.0 --help
```

</Tip>

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