Things are changing quite fast in the world of AI and you can expect anything at any time. And now doctors have something new of their own. Hugging Face has released Carbon-X, an open-source AI model. This model allows searchers ask questions about DNA and receive a clearly explained answer.
You can say that this technology is one of a kind. After all, it combines DNA analysis and generation with plain language. The AI-model was developed in collaboration with researchers at Zhongguancun Academy in China and the University of Naples Federico II in Italy.
Carbon-X starts from Alibaba’s Qwen3-14B language model and has about 14.8 billion parameters. Hugging Face then took the initiative of training it on 302 billion tokens of DNA, English text and biology material. The essence of doing this was to ensure it reads generic code and words in the same stream.
Lewis Tunstall, a senior research scientist at Hugging Face, says the tool is meant to help researchers design new drugs and genetic therapies, and it could potentially aid patients in interpreting their own genomes.
Tunstall said the company was partly motivated to build Carbon-X to prevent biology researchers from becoming dependent on the major AI labs, noting how AI has disrupted mathematics.
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It is possible for researchers to run Carbon-X on their own computers. This means they no longer have to share sensitive data with external AI companies. He also revealed that some of the misalignment behavior observed in larger models have not yet been observed in smaller, more specialized models.
We’ve unlocked a new capability in language models, which is fundamentally about being able to chat with DNA,” he says of the new model, dubbed Carbon-X. Using natural language means even nontechnical users “can actually ask questions about DNA that wouldn’t be accessible through any other tool.”
Researchers can now ask if a mutation is likely to be harmful. The AI-model will then predict and explain the reasoning behind its decision. And the best part is that it can also write new DNA sequences. This new advancement could help work on gene therapies.
“We wanted to provide the open research community with tools that don’t make them fully dependent on some external single provider,” he added.
Hugging Face is widely known as the GitHub for AI models. They offer a library of readymade AI tools and a platform for running primarily open-weight and open-source applications. Their tech is widely used by developers, researchers, businesses, and people looking to experiment with AI without building everything from scratch.
Users won’t be able to upload full human genomes. The model was trained to be able to ingest DNA sequences of roughly 50,000 base pairs, so users will only be able to query small parts of the genome at a time.
However, the Carbon-X developers caution that they are yet to validate the AI-model with actual wet lab experiments. For this reason, they can’t reveal how accurate its predictions are.
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