Neeto-1.0-8b is an 8 billion parameter biomedical large language model developed by BYOL Academy, specifically adapted for medical exam preparation and clinical reasoning. It was fine-tuned on a curated mixture of synthetic and hand-audited medical data, excelling in factual recall and differential diagnostics. The model achieves strong 7B-class results across medical evaluation suites like MedQA, MedMCQA, PubMedQA, and MMLU medical subsets, outperforming several prior open biomedical baselines of similar scale. It is strictly designed for medical-related tasks, such as NEET-PG, UKMLE, and USMLE preparation, and is not intended for general conversational use.
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