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# TabbyAPI # TabbyAPI
A FastAPI based application that allows for generating text using an LLM (large language model) using the [exllamav2 backend](https://github.com/turboderp/exllamav2). > [!NOTE]
>
> Need help? Join the [Discord Server](https://discord.gg/sYQxnuD7Fj) and get the `Tabby` role. Please be nice when asking questions.
A FastAPI based application that allows for generating text using an LLM (large language model) using the https://github.com/turboderp/exllamav2.
## Disclaimer ## Disclaimer
@@ -29,38 +33,28 @@ NOTE: For Flash Attention 2 to work on Windows, CUDA 12.x **must** be installed!
2. Navigate to the project directory: `cd tabbyAPI` 2. Navigate to the project directory: `cd tabbyAPI`
3. Create a python environment: 3. Create a python environment:
1. Through venv (recommended) 1. Through venv (recommended)
1. `python -m venv venv` 1. `python -m venv venv`
2. On Windows (Using powershell or Windows terminal): `.\venv\Scripts\activate`. On Linux: `source venv/bin/activate` 2. On Windows (Using powershell or Windows terminal): `.\venv\Scripts\activate`. On Linux: `source venv/bin/activate`
2. Through conda 2. Through conda
1. `conda create -n tabbyAPI python=3.11` 1. `conda create -n tabbyAPI python=3.11`
2. `conda activate tabbyAPI` 2. `conda activate tabbyAPI`
4. Install torch using the instructions found [here](https://pytorch.org/get-started/locally/) 4. Install the requirements file based on your system:
5. Install exllamav2 (must be v0.0.9 or greater!)
NOTE: TabbyAPI will give you a warning if a sampler isn't found due to the exllamav2 version being too low. 1. Cuda 12.x: `pip install -r requirements.txt`
1. From a [wheel/release](https://github.com/turboderp/exllamav2#method-2-install-from-release-with-prebuilt-extension) (Recommended)
1. Find the version that corresponds with your cuda and python version. For example, a wheel with `cu121` and `cp311` corresponds to CUDA 12.1 and python 3.11
2. From [pip](https://github.com/turboderp/exllamav2#method-3-install-from-pypi): `pip install exllamav2` 2. Cuda 11.8: `pip install -r requirements-cu118.txt`
1. This is a JIT compiled extension, which means that the initial launch of tabbyAPI will take some time. The build may also not work due to improper environment configuration.
3. From [source](https://github.com/turboderp/exllamav2#method-1-install-from-source) 3. ROCm 5.6: `pip install -r requirements-amd.txt`
6. Install the other requirements via: `pip install -r requirements.txt` 5. If you want the `/v1/chat/completions` endpoint to work with a list of messages, install fastchat by running `pip install fschat[model_worker]`
7. If you want the `/v1/chat/completions` endpoint to work with a list of messages, install fastchat by running `pip install fschat[model_worker]`
## Configuration ## Configuration
@@ -74,6 +68,36 @@ If you do want a config file, copy over `config_sample.yml` to `config.yml`. All
2. Run the tabbyAPI application: `python main.py` 2. Run the tabbyAPI application: `python main.py`
## Updating
To update tabbyAPI, just run `pip install --upgrade -r requirements.txt` using the `requirements.txt` for your configuration (ex. CUDA 11.8 or ROCm 5.6)
### Update Exllamav2
> [!WARNING]
>
> These instructions are meant for advanced users.
If the version of exllamav2 doesn't meet your specifications, you can install the dependency from various sources.
NOTE:
- TabbyAPI will print a warning if a sampler isn't found due to the exllamav2 version being too low.
- Any upgrades using a requirements file will result in overwriting your installed wheel. To fix this, change `requirements.txt` locally, create an issue or PR, or install your version of exllamav2 after upgrades.
Here are ways to install exllamav2:
1. From a [wheel/release](https://github.com/turboderp/exllamav2#method-2-install-from-release-with-prebuilt-extension) (Recommended)
1. Find the version that corresponds with your cuda and python version. For example, a wheel with `cu121` and `cp311` corresponds to CUDA 12.1 and python 3.11
2. From [pip](https://github.com/turboderp/exllamav2#method-3-install-from-pypi): `pip install exllamav2`
1. This is a JIT compiled extension, which means that the initial launch of tabbyAPI will take some time. The build may also not work due to improper environment configuration.
3. From [source](https://github.com/turboderp/exllamav2#method-1-install-from-source)
## API Documentation ## API Documentation
Docs can be accessed once you launch the API at `http://<your-IP>:<your-port>/docs` Docs can be accessed once you launch the API at `http://<your-IP>:<your-port>/docs`
@@ -105,22 +129,22 @@ All routes require an API key except for the following which require an **admin*
## Common Issues ## Common Issues
- AMD cards will error out with flash attention installed, even if the config option is set to False. Run `pip uninstall flash_attn` to remove the wheel from your system. - AMD cards will error out with flash attention installed, even if the config option is set to False. Run `pip uninstall flash_attn` to remove the wheel from your system.
- See [#5](https://github.com/theroyallab/tabbyAPI/issues/5) - See [#5](https://github.com/theroyallab/tabbyAPI/issues/5)
- Exllamav2 may error with the following exception: `ImportError: DLL load failed while importing exllamav2_ext: The specified module could not be found.` - Exllamav2 may error with the following exception: `ImportError: DLL load failed while importing exllamav2_ext: The specified module could not be found.`
- First, make sure to check if the wheel is equivalent to your python version and CUDA version. Also make sure you're in a venv or conda environment. - First, make sure to check if the wheel is equivalent to your python version and CUDA version. Also make sure you're in a venv or conda environment.
- If those prerequisites are correct, the torch cache may need to be cleared. This is due to a mismatching exllamav2_ext. - If those prerequisites are correct, the torch cache may need to be cleared. This is due to a mismatching exllamav2_ext.
- In Windows: Find the cache at `C:\Users\<User>\AppData\Local\torch_extensions\torch_extensions\Cache` where `<User>` is your Windows username - In Windows: Find the cache at `C:\Users\<User>\AppData\Local\torch_extensions\torch_extensions\Cache` where `<User>` is your Windows username
- In Linux: Find the cache at `~/.cache/torch_extensions` - In Linux: Find the cache at `~/.cache/torch_extensions`
- look for any folder named `exllamav2_ext` in the python subdirectories and delete them. - look for any folder named `exllamav2_ext` in the python subdirectories and delete them.
- Restart TabbyAPI and launching should work again. - Restart TabbyAPI and launching should work again.
## Contributing ## Contributing
@@ -134,10 +158,6 @@ If you have a Pull Request
- Describe the pull request in detail, what, and why you are changing something - Describe the pull request in detail, what, and why you are changing something
## Support
Need help? Join the [Discord Server](https://discord.gg/sYQxnuD7Fj) and get the `Tabby` role. Please be nice when asking questions.
## Developers and Permissions ## Developers and Permissions
Creators/Developers: Creators/Developers: