wtf is scireasoner?

SciReasoner is a scientific AI foundation model built to reason about the structure of proteins, molecules, DNA and RNA, and materials like crystals, rather than just treating them as plain text. Instead of only reading a chemical formula or a protein sequence as a string of characters, it converts these structures into specialized tokens that capture real three dimensional and structural information, then reasons over those tokens to answer questions, make predictions, classify things, and help design new molecules or proteins. The model is built starting from an existing large language model called Qwen3-14B, then adapted with vocabularies specific to science, so it can connect details like amino acid residues, molecular fragments, crystal symmetry, and chemical bonding patterns to real world properties scientists care about. According to the README, it reaches state of the art results on the large majority of tasks it was tested on, and its performance on many specialized tasks matches or beats models built specifically for one narrow scientific domain, based on comparisons published in the accompanying research paper. The model covers a wide scope: chemistry tasks like predicting how well a drug candidate might dissolve or planning chemical reactions, materials science tasks like predicting properties of crystals and alloys, protein tasks like predicting protein stability and function, and genomics tasks like predicting enhancer activity or CRISPR targeting efficiency. Each of these areas has its own table of specific inputs and tasks listed in the README, giving a sense of just how broad the intended use is. As of this README, the actual model weights and a public demo are both marked as coming soon, and evaluation scripts are described as arriving with a future public code release, so this repository currently functions mainly as documentation and a companion to the published research paper rather than something you can immediately download and run. It is aimed squarely at scientific researchers working in chemistry, biology, and materials science, not general software developers.