inclusionAI releases Ling-3.0-flash-Sante, a 124B healthcare model
inclusionAI announced Ling-3.0-flash-Sante, a research‑grade language model built on the Ling-3.0-flash foundation and aimed at medical reasoning, healthcare research, and tool‑assisted workflows. The model contains 124 billion total parameters but activates only 5.1 billion per token thanks to a hybrid‑linear MoE architecture that combines Kimi Delta Attention, gated MLA, and sparse MoE layers.…
Key points
- Ling-3.0-flash-Sante has 124 B parameters, activates 5.1 B per token, and supports a 256 K token context window.
- Targeted at medical reasoning and research, but labeled a research model that requires professional review and is not a medical device.
- Benchmarked on healthcare tasks such as AFUMED‑Drug, AFUSAFE‑MedSCE, MedMCQA, BrowseComp, HLE, DeepSearchQA, and Tau3‑Banking with strong performance.
The team evaluated Sante on a suite of professional healthcare benchmarks, including AFUMED‑Drug, AFUSAFE‑MedSCE, MedMCQA, BrowseComp, HLE, DeepSearchQA, and Tau3‑Banking, reporting strong results across medical knowledge, safety, and complex reasoning tasks. The model is released on Hugging Face and ModelScope, but the announcement stresses that it is a research model, not a medical device; outputs may be incomplete or incorrect and must be reviewed by qualified professionals before any high‑stakes use. Deployment instructions are provided for Docker, SGLang, and vLLM, and the model recorded five downloads in the past month.
The story so far
2 episodes →- inclusionAI releases Ling-3.0-flash-Sante, a 124B healthcare modelthis story
inclusionAI/Ling-3.0-flash-Sante · Hugging Face
huggingface.co · 22 October 2026
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