Hugging Face (HuggingFaceBio) · DNA Language Model

Carbon-X

An open 14.8B-parameter language model from Hugging Face's bio team, trained jointly on DNA and English text and built on Qwen3-14B. You paste raw DNA into a chat and it predicts whether variants are benign or pathogenic, finds regulatory regions, classifies organisms and continues sequences, with explanations. DNA is tokenized as 6-mers in the same token stream as text; context is 40,960 tokens and training used 302B tokens plus SFT and RL. Across five DNA benchmarks it averages 66.7% (self-reported), 27 points above Qwen3-14B and close to GPT-6.1 Sol at 67.5%, at far lower cost. Apache 2.0; fits on one 80 GB GPU.