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Add docker pull
command in README (#110)
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README.md
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README.md
@ -28,10 +28,15 @@ limitations under the License.
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To use [🤗 text-generation-inference](https://github.com/huggingface/text-generation-inference) on Habana Gaudi/Gaudi2, follow these steps:
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1. Build the Docker image located in this folder with:
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1. Pull the official Docker image with:
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```bash
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docker build -t tgi_gaudi .
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docker pull ghcr.io/huggingface/tgi-gaudi:1.2.1
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```
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> [!NOTE]
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> Alternatively, you can build the Docker image using the `Dockerfile` located in this folder with:
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> ```bash
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> docker build -t tgi_gaudi .
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> ```
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2. Launch a local server instance:
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i. On 1 Gaudi/Gaudi2 card
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@ -39,7 +44,7 @@ To use [🤗 text-generation-inference](https://github.com/huggingface/text-gene
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model=meta-llama/Llama-2-7b-hf
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volume=$PWD/data # share a volume with the Docker container to avoid downloading weights every run
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docker run -p 8080:80 -v $volume:/data --runtime=habana -e HABANA_VISIBLE_DEVICES=all -e OMPI_MCA_btl_vader_single_copy_mechanism=none --cap-add=sys_nice --ipc=host tgi_gaudi --model-id $model
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docker run -p 8080:80 -v $volume:/data --runtime=habana -e HABANA_VISIBLE_DEVICES=all -e OMPI_MCA_btl_vader_single_copy_mechanism=none --cap-add=sys_nice --ipc=host ghcr.io/huggingface/tgi-gaudi:1.2.1 --model-id $model
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```
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> For gated models such as [LLama](https://huggingface.co/meta-llama) or [StarCoder](https://huggingface.co/bigcode/starcoder), you will have to pass `-e HUGGING_FACE_HUB_TOKEN=<token>` to the `docker run` command above with a valid Hugging Face Hub read token.
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@ -48,7 +53,7 @@ To use [🤗 text-generation-inference](https://github.com/huggingface/text-gene
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model=meta-llama/Llama-2-70b-hf
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volume=$PWD/data # share a volume with the Docker container to avoid downloading weights every run
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docker run -p 8080:80 -v $volume:/data --runtime=habana -e PT_HPU_ENABLE_LAZY_COLLECTIVES=true -e HABANA_VISIBLE_DEVICES=all -e OMPI_MCA_btl_vader_single_copy_mechanism=none --cap-add=sys_nice --ipc=host tgi_gaudi --model-id $model --sharded true --num-shard 8
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docker run -p 8080:80 -v $volume:/data --runtime=habana -e PT_HPU_ENABLE_LAZY_COLLECTIVES=true -e HABANA_VISIBLE_DEVICES=all -e OMPI_MCA_btl_vader_single_copy_mechanism=none --cap-add=sys_nice --ipc=host ghcr.io/huggingface/tgi-gaudi:1.2.1 --model-id $model --sharded true --num-shard 8
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```
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4. You can then send a simple request:
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```bash
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