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This looks exactly like what I need for a project I've been working on. How do you get your own code in to the model? Or is that the future fine-tuning step you're talking about?

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Tabby collected the source code from the related repository and built them into a dataset. I already have some proof-of-concept pipelines built [1] and [2], but I still need some time to polish the data pipeline..

[1]: https://github.com/TabbyML/tabby/blob/main/tabby/tools/repos...

[2]: https://github.com/TabbyML/tabby/blob/main/tabby/tools/train...

Ok, looks like that makes sense! Is there a prompt token limit like OpenAI models? Codex I believe has a 8k prompt/response limit.

You can train this on all the code in your own repositories? I would assume that makes the completions a lot better?

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