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Hey! Author of the blog here. The current implementation uses llama.cpp GBNF which has allowed for a quick implementation. The biggest value-add at this time was getting the feature out.

With the newer research - outlines/xgrammar coming out, I hope to be able to update the sampling to support more formats, increase accuracy, and improve performance.

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Hi, just wanted to say how much I appreciate your work.

I'm curious if you have considered implementing Microsoft's Guidance (https://github.com/guidance-ai/guidance)? Their approach offers significant speed improvements, which I understand can sometimes be shortcoming of GBNF (e.g https://github.com/ggerganov/llama.cpp/issues/4218).

Yes! I have checked guidance out, as well as a few others. Planning to refactor sampling in the near future which would include improving using grammars for sampling as well. Thanks for sharing!

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