7fded4f183
Async generation helps remove many roadblocks to managing tasks using threads. It should allow for abortables and modern-day paradigms. NOTE: Exllamav2 itself is not an asynchronous library. It's just been added into tabby's async nature to allow for a fast and concurrent API server. It's still being debated to run stream_ex in a separate thread or manually manage it using asyncio.sleep(0) Signed-off-by: kingbri <bdashore3@proton.me>
TabbyAPI
Important
In addition to the README, please read the Wiki page for information about getting started!
Note
Need help? Join the Discord Server and get the
Tabbyrole. Please be nice when asking questions.
A FastAPI based application that allows for generating text using an LLM (large language model) using the Exllamav2 backend
Disclaimer
This API is considered as rolling release. There may be bugs and changes down the line. Please be aware that you might need to reinstall dependencies if needed.
Getting Started
Read the Wiki for more information. It contains user-facing documentation for installation, configuration, sampling, API usage, and so much more.
Supported Model Types
TabbyAPI uses Exllamav2 as a powerful and fast backend for model inference, loading, etc. Therefore, the following types of models are supported:
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Exl2 (Highly recommended)
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GPTQ
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FP16 (using Exllamav2's loader)
Alternative Loaders/Backends
If you want to use a different model type than the ones listed above, here are some alternative backends with their own APIs:
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GGUF + GGML - KoboldCPP
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AWQ - Aphrodite Engine
Contributing
If you have issues with the project:
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Describe the issues in detail
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If you have a feature request, please indicate it as such.
If you have a Pull Request
- Describe the pull request in detail, what, and why you are changing something
Developers and Permissions
Creators/Developers: