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v0.9.4 (#713)
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Cargo.lock

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Cargo.toml

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]
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[workspace.package]
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version = "0.9.3"
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version = "0.9.4"
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edition = "2021"
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authors = ["Olivier Dehaene"]
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homepage = "https://github.com/huggingface/text-generation-inference"

README.md

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model=tiiuae/falcon-7b-instruct
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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 --gpus all --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:0.9.3 --model-id $model
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docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:0.9.4 --model-id $model
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```
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**Note:** To use 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 11.8 or higher.
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docs/openapi.json

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"name": "Apache 2.0",
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"url": "https://www.apache.org/licenses/LICENSE-2.0"
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},
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"version": "0.9.3"
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"version": "0.9.4"
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},
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"paths": {
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"/": {

server/pyproject.toml

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[tool.poetry]
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name = "text-generation-server"
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version = "0.9.3"
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version = "0.9.4"
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description = "Text Generation Inference Python gRPC Server"
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authors = ["Olivier Dehaene <olivier@huggingface.co>"]
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