TxGravity-30B-A6B-Open is a therapeutics-focused, task-specialized model built on the Gravity-30B-A5B base. It predicts a broad range of therapeutic properties — small-molecule ADMET, toxicity, drug–target interaction, protein–protein and peptide–MHC interaction, and more — by converting the Therapeutic Data Commons (TDC) benchmark tasks into an instruction format for LLMs, in the same spirit as Google’s TxGemma. TxGravity is co-developed by SK Biopharmaceuticals (SKBP) and Trillion Labs. It is trained on TDC tasks reformatted as single-turn instructions (instruction → answer), covering 57 tasks. Answers are formatted as (A)/(B) for binary classification or a normalized 000–1000 bin for regression. This release is the open-license version, with any datasets restricted to non-commercial use excluded from training. > ⚠️ This is a task-specialized property predictor, not a general instruction-tuned or safety-aligned assistant. Its outputs are intended for the TDC-style therapeutic prediction prompts it was trained on. Predictions may be inaccurate, biased, or incomplete and must be independently verified before any experimental, clinical, or decision-making use. Evaluated on the TDC…
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Задача: Генерация текста
Автор: trillionlabs
Теги: deepseek_v3, moe, mixture-of-experts, gravity, txgravity, therapeutics, tdc, trillion-labs
Лайков: 3 | Загрузок: 532
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.