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Update README
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README.md
350
README.md
@ -32,9 +32,183 @@ To launch the web UI again in the future, run the same `start_` script that you
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<details>
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<summary>
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Setup details
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Setup details and information about installing manually
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</summary>
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### One-click-installer
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#### How it works
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The script creates a folder called `installer_files` where it sets up a Conda environment using Miniconda. The installation is self-contained: if you want to reinstall, just delete `installer_files` and run the start script again.
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To launch the webui in the future after it is already installed, run the same `start` script.
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#### Getting updates
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Run `update_linux.sh`, `update_windows.bat`, `update_macos.sh`, or `update_wsl.bat`.
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#### Running commands
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If you ever need to install something manually in the `installer_files` environment, you can launch an interactive shell using the cmd script: `cmd_linux.sh`, `cmd_windows.bat`, `cmd_macos.sh`, or `cmd_wsl.bat`.
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#### Defining command-line flags
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To define persistent command-line flags like `--listen` or `--api`, edit the `CMD_FLAGS.txt` file with a text editor and add them there. Flags can also be provided directly to the start scripts, for instance, `./start-linux.sh --listen`.
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#### Other info
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* There is no need to run any of those scripts as admin/root.
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* For additional instructions about AMD setup and WSL setup, consult [the documentation](https://github.com/oobabooga/text-generation-webui/wiki).
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* The installer has been tested mostly on NVIDIA GPUs. If you can find a way to improve it for your AMD/Intel Arc/Mac Metal GPU, you are highly encouraged to submit a PR to this repository. The main file to be edited is `one_click.py`.
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* For automated installation, you can use the `GPU_CHOICE`, `USE_CUDA118`, `LAUNCH_AFTER_INSTALL`, and `INSTALL_EXTENSIONS` environment variables. For instance: `GPU_CHOICE=A USE_CUDA118=FALSE LAUNCH_AFTER_INSTALL=FALSE INSTALL_EXTENSIONS=FALSE ./start_linux.sh`.
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### Manual installation using Conda
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Recommended if you have some experience with the command-line.
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#### 0. Install Conda
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https://docs.conda.io/en/latest/miniconda.html
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On Linux or WSL, it can be automatically installed with these two commands ([source](https://educe-ubc.github.io/conda.html)):
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```
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curl -sL "https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh" > "Miniconda3.sh"
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bash Miniconda3.sh
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```
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#### 1. Create a new conda environment
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```
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conda create -n textgen python=3.11
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conda activate textgen
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```
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#### 2. Install Pytorch
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| System | GPU | Command |
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|--------|---------|---------|
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| Linux/WSL | NVIDIA | `pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121` |
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| Linux/WSL | CPU only | `pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu` |
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| Linux | AMD | `pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm5.6` |
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| MacOS + MPS | Any | `pip3 install torch torchvision torchaudio` |
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| Windows | NVIDIA | `pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121` |
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| Windows | CPU only | `pip3 install torch torchvision torchaudio` |
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The up-to-date commands can be found here: https://pytorch.org/get-started/locally/.
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For NVIDIA, you also need to install the CUDA runtime libraries:
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```
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conda install -y -c "nvidia/label/cuda-12.1.1" cuda-runtime
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```
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If you need `nvcc` to compile some library manually, replace the command above with
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```
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conda install -y -c "nvidia/label/cuda-12.1.1" cuda
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```
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#### 3. Install the web UI
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```
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git clone https://github.com/oobabooga/text-generation-webui
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cd text-generation-webui
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pip install -r <requirements file according to table below>
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```
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Requirements file to use:
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| GPU | CPU | requirements file to use |
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|--------|---------|---------|
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| NVIDIA | has AVX2 | `requirements.txt` |
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| NVIDIA | no AVX2 | `requirements_noavx2.txt` |
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| AMD | has AVX2 | `requirements_amd.txt` |
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| AMD | no AVX2 | `requirements_amd_noavx2.txt` |
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| CPU only | has AVX2 | `requirements_cpu_only.txt` |
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| CPU only | no AVX2 | `requirements_cpu_only_noavx2.txt` |
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| Apple | Intel | `requirements_apple_intel.txt` |
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| Apple | Apple Silicon | `requirements_apple_silicon.txt` |
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### Start the web UI
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conda activate textgen
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cd text-generation-webui
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python server.py
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Then browse to
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`http://localhost:7860/?__theme=dark`
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##### AMD GPU on Windows
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1) Use `requirements_cpu_only.txt` or `requirements_cpu_only_noavx2.txt` in the command above.
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2) Manually install llama-cpp-python using the appropriate command for your hardware: [Installation from PyPI](https://github.com/abetlen/llama-cpp-python#installation-with-hardware-acceleration).
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* Use the `LLAMA_HIPBLAS=on` toggle.
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* Note the [Windows remarks](https://github.com/abetlen/llama-cpp-python#windows-remarks).
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3) Manually install AutoGPTQ: [Installation](https://github.com/PanQiWei/AutoGPTQ#install-from-source).
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* Perform the from-source installation - there are no prebuilt ROCm packages for Windows.
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4) Manually install [ExLlama](https://github.com/turboderp/exllama) by simply cloning it into the `repositories` folder (it will be automatically compiled at runtime after that):
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```sh
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cd text-generation-webui
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git clone https://github.com/turboderp/exllama repositories/exllama
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```
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##### Older NVIDIA GPUs
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1) For Kepler GPUs and older, you will need to install CUDA 11.8 instead of 12:
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```
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pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
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conda install -y -c "nvidia/label/cuda-11.8.0" cuda-runtime
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```
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2) bitsandbytes >= 0.39 may not work. In that case, to use `--load-in-8bit`, you may have to downgrade like this:
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* Linux: `pip install bitsandbytes==0.38.1`
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* Windows: `pip install https://github.com/jllllll/bitsandbytes-windows-webui/raw/main/bitsandbytes-0.38.1-py3-none-any.whl`
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##### Manual install
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The requirements*.txt above contain various precompiled wheels. If you wish to compile things manually, or if you need to because no suitable wheels are available for your hardware, you can use `requirements_nowheels.txt` and then install your desired loaders manually.
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### Alternative: Docker
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```
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ln -s docker/{nvidia/Dockerfile,docker-compose.yml,.dockerignore} .
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cp docker/.env.example .env
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# Edit .env and set:
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# TORCH_CUDA_ARCH_LIST based on your GPU model
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# APP_RUNTIME_GID your host user's group id (run `id -g` in a terminal)
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# BUILD_EXTENIONS optionally add comma separated list of extensions to build
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docker compose up --build
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```
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* You need to have Docker Compose v2.17 or higher installed. See [this guide](https://github.com/oobabooga/text-generation-webui/wiki/09-%E2%80%90-Docker) for instructions.
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* For additional docker files, check out [this repository](https://github.com/Atinoda/text-generation-webui-docker).
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### Updating the requirements
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From time to time, the `requirements*.txt` changes. To update, use these commands:
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```
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conda activate textgen
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cd text-generation-webui
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pip install -r <requirements file that you have used> --upgrade
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```
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</details>
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Command-line flags can be passed to the `start_` script. Alternatively, you can open the file `CMD_FLAGS.txt` with a text editor and add your flags there.
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<details>
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<summary>
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Command-line flags list
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</summary>
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#### Basic settings
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| Flag | Description |
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@ -199,180 +373,6 @@ Setup details
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| `--multimodal-pipeline PIPELINE` | The multimodal pipeline to use. Examples: `llava-7b`, `llava-13b`. |
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</details>
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Command-line flags can be passed to that script. Alternatively, you can place your flags in the `CMD_FLAGS.txt` file.
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<details>
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<summary>
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Command-line flags list
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</summary>
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### One-click-installer
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#### How it works
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The script creates a folder called `installer_files` where it sets up a Conda environment using Miniconda. The installation is self-contained: if you want to reinstall, just delete `installer_files` and run the start script again.
|
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To launch the webui in the future after it is already installed, run the same `start` script.
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#### Getting updates
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Run `update_linux.sh`, `update_windows.bat`, `update_macos.sh`, or `update_wsl.bat`.
|
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#### Running commands
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If you ever need to install something manually in the `installer_files` environment, you can launch an interactive shell using the cmd script: `cmd_linux.sh`, `cmd_windows.bat`, `cmd_macos.sh`, or `cmd_wsl.bat`.
|
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#### Defining command-line flags
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To define persistent command-line flags like `--listen` or `--api`, edit the `CMD_FLAGS.txt` file with a text editor and add them there. Flags can also be provided directly to the start scripts, for instance, `./start-linux.sh --listen`.
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|
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#### Other info
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||||
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||||
* There is no need to run any of those scripts as admin/root.
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||||
* For additional instructions about AMD setup and WSL setup, consult [the documentation](https://github.com/oobabooga/text-generation-webui/wiki).
|
||||
* The installer has been tested mostly on NVIDIA GPUs. If you can find a way to improve it for your AMD/Intel Arc/Mac Metal GPU, you are highly encouraged to submit a PR to this repository. The main file to be edited is `one_click.py`.
|
||||
* For automated installation, you can use the `GPU_CHOICE`, `USE_CUDA118`, `LAUNCH_AFTER_INSTALL`, and `INSTALL_EXTENSIONS` environment variables. For instance: `GPU_CHOICE=A USE_CUDA118=FALSE LAUNCH_AFTER_INSTALL=FALSE INSTALL_EXTENSIONS=FALSE ./start_linux.sh`.
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### Manual installation using Conda
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Recommended if you have some experience with the command-line.
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#### 0. Install Conda
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https://docs.conda.io/en/latest/miniconda.html
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On Linux or WSL, it can be automatically installed with these two commands ([source](https://educe-ubc.github.io/conda.html)):
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```
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curl -sL "https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh" > "Miniconda3.sh"
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bash Miniconda3.sh
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```
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#### 1. Create a new conda environment
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```
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conda create -n textgen python=3.11
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conda activate textgen
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```
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#### 2. Install Pytorch
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| System | GPU | Command |
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|--------|---------|---------|
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| Linux/WSL | NVIDIA | `pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121` |
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| Linux/WSL | CPU only | `pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu` |
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| Linux | AMD | `pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm5.6` |
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| MacOS + MPS | Any | `pip3 install torch torchvision torchaudio` |
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| Windows | NVIDIA | `pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121` |
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| Windows | CPU only | `pip3 install torch torchvision torchaudio` |
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The up-to-date commands can be found here: https://pytorch.org/get-started/locally/.
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For NVIDIA, you also need to install the CUDA runtime libraries:
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```
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conda install -y -c "nvidia/label/cuda-12.1.1" cuda-runtime
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```
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If you need `nvcc` to compile some library manually, replace the command above with
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```
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conda install -y -c "nvidia/label/cuda-12.1.1" cuda
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```
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#### 3. Install the web UI
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```
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git clone https://github.com/oobabooga/text-generation-webui
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cd text-generation-webui
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pip install -r <requirements file according to table below>
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```
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Requirements file to use:
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| GPU | CPU | requirements file to use |
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|--------|---------|---------|
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| NVIDIA | has AVX2 | `requirements.txt` |
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| NVIDIA | no AVX2 | `requirements_noavx2.txt` |
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| AMD | has AVX2 | `requirements_amd.txt` |
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| AMD | no AVX2 | `requirements_amd_noavx2.txt` |
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| CPU only | has AVX2 | `requirements_cpu_only.txt` |
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| CPU only | no AVX2 | `requirements_cpu_only_noavx2.txt` |
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| Apple | Intel | `requirements_apple_intel.txt` |
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| Apple | Apple Silicon | `requirements_apple_silicon.txt` |
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### Start the web UI
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conda activate textgen
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cd text-generation-webui
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python server.py
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Then browse to
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`http://localhost:7860/?__theme=dark`
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##### AMD GPU on Windows
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1) Use `requirements_cpu_only.txt` or `requirements_cpu_only_noavx2.txt` in the command above.
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|
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2) Manually install llama-cpp-python using the appropriate command for your hardware: [Installation from PyPI](https://github.com/abetlen/llama-cpp-python#installation-with-hardware-acceleration).
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* Use the `LLAMA_HIPBLAS=on` toggle.
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* Note the [Windows remarks](https://github.com/abetlen/llama-cpp-python#windows-remarks).
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3) Manually install AutoGPTQ: [Installation](https://github.com/PanQiWei/AutoGPTQ#install-from-source).
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* Perform the from-source installation - there are no prebuilt ROCm packages for Windows.
|
||||
|
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4) Manually install [ExLlama](https://github.com/turboderp/exllama) by simply cloning it into the `repositories` folder (it will be automatically compiled at runtime after that):
|
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|
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```sh
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cd text-generation-webui
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git clone https://github.com/turboderp/exllama repositories/exllama
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```
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##### Older NVIDIA GPUs
|
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1) For Kepler GPUs and older, you will need to install CUDA 11.8 instead of 12:
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```
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pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
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conda install -y -c "nvidia/label/cuda-11.8.0" cuda-runtime
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```
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2) bitsandbytes >= 0.39 may not work. In that case, to use `--load-in-8bit`, you may have to downgrade like this:
|
||||
* Linux: `pip install bitsandbytes==0.38.1`
|
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* Windows: `pip install https://github.com/jllllll/bitsandbytes-windows-webui/raw/main/bitsandbytes-0.38.1-py3-none-any.whl`
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|
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##### Manual install
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|
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The requirements*.txt above contain various precompiled wheels. If you wish to compile things manually, or if you need to because no suitable wheels are available for your hardware, you can use `requirements_nowheels.txt` and then install your desired loaders manually.
|
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|
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### Alternative: Docker
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```
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ln -s docker/{nvidia/Dockerfile,docker-compose.yml,.dockerignore} .
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cp docker/.env.example .env
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# Edit .env and set:
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# TORCH_CUDA_ARCH_LIST based on your GPU model
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# APP_RUNTIME_GID your host user's group id (run `id -g` in a terminal)
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# BUILD_EXTENIONS optionally add comma separated list of extensions to build
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docker compose up --build
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```
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* You need to have Docker Compose v2.17 or higher installed. See [this guide](https://github.com/oobabooga/text-generation-webui/wiki/09-%E2%80%90-Docker) for instructions.
|
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* For additional docker files, check out [this repository](https://github.com/Atinoda/text-generation-webui-docker).
|
||||
|
||||
### Updating the requirements
|
||||
|
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From time to time, the `requirements*.txt` changes. To update, use these commands:
|
||||
|
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```
|
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conda activate textgen
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cd text-generation-webui
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pip install -r <requirements file that you've used> --upgrade
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```
|
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|
||||
|
||||
</details>
|
||||
|
||||
|
||||
Loading…
Reference in New Issue
Block a user