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Reduce Generation Steps Through Token Fast-forwarding

Published projects tagged with this use case.

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A Python framework for controlling LLM generation with composable prompts, conditionals, tool use, and grammar-based constraints. Supports structured outputs and multiple inference backends, including Transformers, llama.cpp, and OpenAI.

AI Frameworks | Jupyter Notebook · LLM control · constrained generation

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