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Hugging Face open-sources FineDNA, a 300B-token DNA training dataset

11/01/2026 — 11/01, 16:17·1 sources (all)·1 reports (all)

Key takeaways

  • The Hugging Face team open-sourced FineDNA, releasing all the data used to train Qwen3-14B into the DNA model Carbon-X: over 300B tokens of…

Background & analysis

On 1 November 2026, the Hugging Face team open-sourced FineDNA via the LocalLLaMA community on Reddit, releasing the complete dataset used to train Qwen3-14B into Carbon-X, which they described as the strongest open language model on DNA. The release comprises three parts: a midtraining corpus of 300B+ tokens drawn from genomes and DNA-rich text, a supervised fine-tuning (SFT) set of roughly 200K conversations, and a reinforcement learning (RL) set of approximately 98K verifiable prompts. The team also opened up the training code and recipe, noting that the same pipeline can be applied to other LLMs. The dataset is distributed through the HuggingFaceBio/FineDNA page on Hugging Face, while the code lives in the huggingface/carbon repository on GitHub. The release was submitted to Reddit by user /u/loubnabnl. As of the available reporting, there is no information yet on download counts, community reproductions, or follow-up updates to the project.

AI-generated from 1 reports · updated 5 days ago

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Reports on this story headlines open the original

Nov 1
  1. Hugging Face has released FineDNA, the full dataset behind Carbon-X, an open model built on Qwen3-14B for DNA work. It bundles 300B+ tokens of genome and DNA-rich midtraining text, roughly 200K SFT conversations and 98K verifiable RL prompts, with code and recipe open so the pipeline can be reused on other LLMs.

    Reddit · LocalLLaMAAI score 59

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