Hugging Face 发布 Carbon-X 对话式 DNA 模型
Hugging Face 发布开放权重的 Carbon-X。该模型拥有 148 亿参数，基于 Qwen3-14B 改造，并联合使用基因组序列和自然语言数据训练，可回答 DNA 问题、预测突变影响及生成序列，也能部署在本地研究硬件上；训练数据排除了病毒序列。Hugging Face 称其在五项 DNA 基准测试中表现领先，但模型尚未通过临床验证或湿实验验证，精确序列操作仍应交由代码处理。
Carbon-X 为研究者提供了可本地运行的开放基因组分析模型，无需将敏感数据发送给云服务商，但其科学可靠性尚未得到独立验证。
The AI platform Hugging Face on Thursday released a new open-source model for understanding DNA that can run locally on a laptop.
Developed in collaboration with researchers at Zhongguancun Academy in China and the University of Naples Federico II in Italy, the model is trained on genomic sequences and natural language so that people can ask questions about the effects of DNA changes on gene activity and health and get conversational answers in return.
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.
“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.”
Known as essentially GitHub for AI models, Hugging Face provides a library of readymade AI tools and a platform for running primarily open-weight and open-source AI applications for developers, researchers, businesses, and people who want to experiment with AI without building everything from scratch. In September, Nvidia agreed to acquire the company for nearly $13 billion. (Hugging Face was also at the center of a major hack by OpenAI’s models earlier this year.)
#Hugging Face#Carbon-X#Qwen3-14B#Zhongguancun Academy#University of Naples Federico II#Telethon Institute of Genetics and Medicine#GPT-6.1 Sol