Hugging Face 发布开源 DNA 与文本统一模型 Carbon-X
Hugging Face 发布 Carbon-X，一款可在对话中读取原始 DNA 并用英文回答的 14.8B 开源模型。
Carbon-X 将 DNA 与文本纳入同一解码器，并以 Apache 2.0 权重和单张 80 GB GPU 部署条件呈现可复现的模型方案。
▲ Hugging Face just released Carbon-X, an open 14.8B model that reads raw DNA inside a chat and answers in English.
The key idea is 1 decoder for both DNA and text. A hybrid tokenizer keeps Qwen3's text vocabulary and turns DNA into 6-base tokens. There is no separate DNA encoder: it starts from Qwen3-14B, then gets 302B tokens of DNA + text mid-training, SFT and RL.
Across 5 DNA benchmarks it averages 66.7% with thinking off, vs 67.5% for GPT-6.1 Sol at max effort. It leads every model tested on BioReason Coding (74.9%) and NextBase (39.4%). It is a trade-off though: splice-site questions score only 29.8%, and it is not clinically validated.
Weights are Apache 2.0 and fit on 1 x 80 GB GPU. Hugging Face estimates about $300 to score 2.4M ClinVar variants, vs $32K to $4M on frontier models......
Full analysis: marktechpost.com/2026/10/25/…
Model: huggingface.co/HuggingFaceBi…
Blog: huggingface.co/spaces/Huggin…
Repo: github.com/huggingface/carbo…
GGUF: huggingface.co/HuggingFaceBi…
@huggingface @_lewtun @LoubnaBenAllal1 @ClementDelangue
来源：Marktechpost · x.com