Upgrade version number in docs. (#910)
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@ -86,7 +86,7 @@ The easiest way of getting started is using the official Docker container:
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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:1.0.1 --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:1.0.2 --model-id $model
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```
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**Note:** To use GPUs, you need to install the [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html). We also recommend using NVIDIA drivers with CUDA version 11.8 or higher. For running the Docker container on a machine with no GPUs or CUDA support, it is enough to remove the `--gpus all` flag and add `--disable-custom-kernels`, please note CPU is not the intended platform for this project, so performance might be subpar.
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@ -153,7 +153,7 @@ model=meta-llama/Llama-2-7b-chat-hf
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volume=$PWD/data # share a volume with the Docker container to avoid downloading weights every run
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token=<your cli READ token>
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docker run --gpus all --shm-size 1g -e HUGGING_FACE_HUB_TOKEN=$token -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:1.0.1 --model-id $model
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docker run --gpus all --shm-size 1g -e HUGGING_FACE_HUB_TOKEN=$token -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:1.0.2 --model-id $model
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```
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### A note on Shared Memory (shm)
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@ -10,7 +10,7 @@
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"name": "Apache 2.0",
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"url": "https://www.apache.org/licenses/LICENSE-2.0"
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},
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"version": "1.0.1"
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"version": "1.0.2"
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},
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"paths": {
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"/": {
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@ -8,7 +8,7 @@ Let's say you want to deploy [Falcon-7B Instruct](https://huggingface.co/tiiuae/
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model=tiiuae/falcon-7b-instruct
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volume=$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:1.0.1 --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:1.0.2 --model-id $model
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```
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<Tip warning={true}>
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@ -85,7 +85,7 @@ curl 127.0.0.1:8080/generate \
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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.
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```bash
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docker run ghcr.io/huggingface/text-generation-inference:1.0.1 --help
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docker run ghcr.io/huggingface/text-generation-inference:1.0.2 --help
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```
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</Tip>
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