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ebktas/longevity-llama3.2-1b-Instruct
longevity-llama3.2-1b-Instruct is a machine learning model from ebktas. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as llama3.2.
⚠️ Disclaimer: This model is fine-tuned on ebktas/longevitysftdata, a limited, domain-specific dataset focused on aging and longevity research. Outputs should not be treated as factual, medical, or clinical advice and…
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From the Hugging Face model README
⚠️ Disclaimer: This model is fine-tuned on ebktas/longevity_sft_data, a limited, domain-specific dataset focused on aging and longevity research. Outputs should not be treated as factual, medical, or clinical advice and must be independently verified against primary scientific literature.
This model is a fine-tuned version of LLaMA-3.2-3B-Instruct, specialized for answering questions about biological aging and longevity concepts.
Scientific explanations of aging mechanisms, evidence-aware longevity reasoning, educational and research purposes
Medical or clinical advice, diagnosis or treatment decisions, supplement or drug recommendations
Q/A pairs that are formed from articles extracted from PubMed and similar sources that are focusing on molecular and cellular mechanisms of aging. RAFT data for better retrieval-augmented generation. Reasoning data generated from LLMs.
This model does not provide medical, diagnostic, or treatment advice Outputs may reflect uncertainties or gaps present in the scientific literature Knowledge is limited to the scope and time range of the training corpus Not suitable for clinical decision-making or health interventions
Same license as the base model.