# Installation 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.** ## Install CLI TODO ## Local Installation from Source Before you start, you will need to setup your environment, and install Text Generation Inference. Text Generation Inference is tested on **Python 3.9+**. Text Generation Inference is available on pypi, conda and GitHub. To install and launch locally, first [install Rust](https://rustup.rs/) and create a Python virtual environment with at least Python 3.9, e.g. using conda: ```bash curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh conda create -n text-generation-inference python=3.9 conda activate text-generation-inference ``` You may also need to install Protoc. On Linux: ```bash PROTOC_ZIP=protoc-21.12-linux-x86_64.zip curl -OL https://github.com/protocolbuffers/protobuf/releases/download/v21.12/$PROTOC_ZIP sudo unzip -o $PROTOC_ZIP -d /usr/local bin/protoc sudo unzip -o $PROTOC_ZIP -d /usr/local 'include/*' rm -f $PROTOC_ZIP ``` On MacOS, using Homebrew: ```bash brew install protobuf ``` Then run to install Text Generation Inference: ```bash BUILD_EXTENSIONS=True make install # Install repository and HF/transformer fork with CUDA kernels ``` On some machines, you may also need the OpenSSL libraries and gcc. On Linux machines, run: ```bash sudo apt-get install libssl-dev gcc -y ``` Once installation is done, simply run: ```bash make run-falcon-7b-instruct ``` This will serve Falcon 7B Instruct model from the port 8080, which we can query. 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: ```bash text-generation-launcher --help ```