InclusionAI releases Ling-3.0-flash-Sante, a 124B healthcare model
InclusionAI has released Ling-3.0-flash-Sante, a healthcare-specialized model built on Ling-3.0-flash, according to a model card reposted on r/LocalLLaMA. The model has 124B total parameters with 5.1B active per token, a 256K-token training context, and a hybrid-linear MoE architecture combining Kimi Delta Attention, gated MLA and sparse MoE layers. Weights are available on Hugging Face and ModelScope; InclusionAI says Sante performs well on healthcare reasoning, knowledge and safety benchmarks, but those are vendor claims without independent verification, and the company describes it as a research model, not a medical device, whose outputs may be incomplete or incorrect.
It adds an open-weight, long-context option aimed at medical reasoning and research workflows, though InclusionAI cautions it is not a medical device and requires human review for high-stakes use.
| from inclusionAI: Introduction Ling-3.0-flash-Sante is our healthcare-specialized model built on Ling-3.0-flash. Its name comes from the French word santé, meaning “health.” With 124B total parameters and 5.1B active parameters per token, Sante is designed for medical reasoning, healthcare research, deep research, and tool-assisted workflows while retaining the general capabilities of Ling-3.0-flash. Model weights are available on Hugging Face and ModelScope. Important: Ling-3.0-flash-Sante is a research model, not a medical device. Its outputs may be incomplete or incorrect and must not be used as a substitute for professional medical advice, diagnosis, or treatment. High-stakes use requires qualified human review, independent verification, and compliance with applicable privacy, security, and healthcare regulations. Highlights submitted by /u/jacek2023 [link] [comments] |
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