Grammar-guided LLM generation framework ensuring syntactically valid output
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SynCode is a framework for grammar-guided Large Language Model (LLM) generation, ensuring syntactically valid outputs for programming languages and structured data. It targets developers and researchers seeking to improve LLM reliability and efficiency in code generation and structured data tasks, offering up to 20% speed improvements and high accuracy.
How It Works
SynCode employs an incremental parsing approach combined with a pre-computed DFA mask store. It processes partial code to identify valid next tokens (accept sequences) and uses a DFA mask store, derived from grammar rules, to efficiently filter the LLM's output distribution. This method guarantees syntactic correctness according to a Context-Free Grammar (CFG) and supports complex language features like Python's indentation.
Quick Start & Requirements
pip install syncode
transformers
v4.51.0+ and Python 3.6-3.12. Python 3.13 is not supported.SyncodeLogitsProcessor
or the Syncode
class with a model and optional grammar.Highlighted Details
Maintenance & Community
Licensing & Compatibility
Limitations & Caveats
1 week ago
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