Hi everyone, we just released Carbon-X, a 14B model that brings DNA and natural language together for the first time 🧬 On five DNA benchmarks it beats every open language model we tested and matches GPT-6.1 Sol, at about 1,000x lower cost: https://huggingface.co/HuggingFaceBio/Carbon-X DNA Evals Recipe and use cases: We midtrained Qwen3 14B on a combination of DNA and natural language to excel at DNA understanding, using a new hybrid tokenizer. We released a blog post with our midtraining and RL recipe if you're interested: https://huggingface.co/spaces/HuggingFaceBio/Carbon-X-Release Use cases: You can ask it about DNA sequences in plain English, predict what a mutation does, or generate new DNA. We published a GGUF version of the model if you want to run it locally https://huggingface.co/HuggingFaceBio/Carbon-X-GGUF Why: Open models are critical for AI for Biology, because the data is highly sensitive and frontier models often refuse routine genomics requests, which can hinder legitimate research. Hope you'll like it!   submitted by   /u/loubnabnl [link]   [comments]