72 lines
1.9 KiB
Markdown
72 lines
1.9 KiB
Markdown
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# Installation
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This section explains how to install the CLI tool as well as installing TGI from source. **The strongly recommended approach is to use Docker, as it does not require much setup. Check [the Quick Tour](./quicktour) to learn how to run TGI with Docker.**
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## Install CLI
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TODO
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## Local Installation from Source
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Before you start, you will need to setup your environment, and install Text Generation Inference. Text Generation Inference is tested on **Python 3.9+**.
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Text Generation Inference is available on pypi, conda and GitHub.
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To install and launch locally, first [install Rust](https://rustup.rs/) and create a Python virtual environment with at least
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Python 3.9, e.g. using conda:
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```shell
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curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
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conda create -n text-generation-inference python=3.9
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conda activate text-generation-inference
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```
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You may also need to install Protoc.
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On Linux:
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```shell
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PROTOC_ZIP=protoc-21.12-linux-x86_64.zip
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curl -OL https://github.com/protocolbuffers/protobuf/releases/download/v21.12/$PROTOC_ZIP
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sudo unzip -o $PROTOC_ZIP -d /usr/local bin/protoc
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sudo unzip -o $PROTOC_ZIP -d /usr/local 'include/*'
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rm -f $PROTOC_ZIP
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```
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On MacOS, using Homebrew:
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```shell
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brew install protobuf
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```
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Then run to install Text Generation Inference:
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```shell
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BUILD_EXTENSIONS=True make install # Install repository and HF/transformer fork with CUDA kernels
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```
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<Tip warning={true}>
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On some machines, you may also need the OpenSSL libraries and gcc. On Linux machines, run:
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```shell
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sudo apt-get install libssl-dev gcc -y
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```
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</Tip>
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Once installation is done, simply run:
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```shell
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make run-falcon-7b-instruct
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```
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This will serve Falcon 7B Instruct model from the port 8080, which we can query.
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To see all options to serve your models, check in the [codebase](https://github.com/huggingface/text-generation-inference/blob/main/launcher/src/main.rs) or the CLI:
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```
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text-generation-launcher --help
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```
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