Large language models learned to write emails, debug code and summarize meetings. Hugging Face would now like one to read your genome. Hugging Face Bio has released a family of open-source generative DNA foundation models called Carbon. They are built to help researchers work out how changes in a genetic sequence might affect gene activity and, ultimately, health. What Carbon actually does Think of DNA as an extremely long book written in a four-letter alphabet. Carbon is a model trained to read that book, predict what comes next, and flag which typos actually change the plot. The flagship is Carbon-3B, released in late May 2026. It sits alongside two siblings, Carbon-8B and Carbon-500M, which Hugging Face Bio describes as intended for speculative decoding, a setup aimed at making generation more efficient. The newest addition is Carbon-A, a model with 1.2 billion parameters released on October 8, 2026. Its job is narrower and arguably more practical: predicting protein-coding regions directly from DNA across a wide spread of eukaryotic organisms. Eukaryotes, for the non-biologists, are organisms whose cells keep their DNA in a nucleus. That covers plants, fungi, animals and you. T...
Hugging Face unveils Carbon, an open-source AI model family for reading DNA
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