Files
tabbyAPI/docs/05.-FAQ.md
turboderp c8b9a8f4aa Backends: Remove ExLlamaV2 backend and container abstraction layer
Remove BaseModelContainer abstraction

LoRA endpoints remain as stubs (supported in exllamav3, but API is undecided)

Fix /v1/lora/unload unloading the
entire model.

The last commit with exllamav2 support is preserved on the
exl2-checkpoint branch.
2026-07-14 22:40:33 +02:00

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Markdown

## FAQ
- What OS is supported?
- Windows and Linux
- I'm confused, how do I do anything with this API?
- That's okay! Not everyone is an AI mastermind on their first try. The start scripts and `config.yml` aim to guide new users to the right configuration. The [Usage](https://github.com/theroyallab/tabbyAPI/wiki/03.-Usage) page explains how the API works. [Community Projects](https://github.com/theroyallab/tabbyAPI/wiki/09.-Community-Projects) contain UIs that help interact with TabbyAPI via API endpoints. The [Discord Server](https://discord.gg/sYQxnuD7Fj) is also a place to ask questions, but please be nice.
- How do I interface with the API?
- The wiki is meant for user-facing documentation. Devs are recommended to use the autogenerated documentation for [OpenAI](https://theroyallab.github.io/tabbyAPI) and [Kobold](https://theroyallab.github.io/tabbyAPI/kobold) servers
- What does TabbyAPI run?
- TabbyAPI uses Exllamav3 as a powerful and fast backend for model inference, loading, etc. Therefore, the following types of models are supported:
- Exl3 (Highly recommended)
- FP16/BF16 (using Exllamav3's loader)
- Exllamav3 may error with the following exception: `ImportError: DLL load failed while importing exllamav3_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.
- If those prerequisites are correct, the torch cache may need to be cleared. This is due to a mismatching exllamav3_ext.
- 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`
- look for any folder named `exllamav3_ext` in the python subdirectories and delete them.
- Restart TabbyAPI and launching should work again.