c4nary is a deterministic, read-only static analysis tool that audits GGUF files for chat templates, tokenizer metadata, model cards, configuration, and overall structural consistency. It helps identify potential security vulnerabilities such as backdoors, SSTI, and supply-chain risks in AI model artifacts. Designed for developers working with large language models, it provides a reliable way to validate models before use or deployment.
c4nary is a Developer Tools project. It focuses on detecting security issues, backdoors, and inconsistencies in GGUF model files, chat templates, and associated metadata before deployment. It is built as an open-source project for machine learning engineers and AI developers. The project is open source (MIT). c4nary is available on the command line.
paraxaQQ builds and maintains c4nary, and it first shipped in 2026. Development happens publicly on GitHub with 24 stars and 12 commits in the last 90 days. Key capabilities include Static Analysis, GGUF Validation, and Chat Template Audit.
Summary written by a language model from the project’s public pages.
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