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🩺 Meet Ling-3.0-flash-Sante-fp8!

🩺 Meet Ling-3.0-flash-Sante-fp8! Healthcare-focused AI just got a little lighter. Same powerful reasoning, less…

This is a dev post classified by AGK Intelligence as Other (a launch), kept by the Dev Radar because it carries real work, not commentary.

🩺 Meet Ling-3.0-flash-Sante-fp8! Healthcare-focused AI just got a little lighter. Same powerful reasoning, less memory to worry about. 🤖 https://modelscope.cn/models/inclusionAI/Ling-3.0-flash-Sante-fp8 • FP8 efficiency: 124B total parameters, just 5.1B active per token, with a smaller memory footprint for deployment. • Quality holds up: Matches the BF16 model's 73.9 average across five healthcare benchmarks. • 256K context: Built for long medical documents, evidence synthesis, and deep research. • Beyond medical Q&A: Native reasoning, tool calling, and support for multi-agent research workfl

Posted by ModelScope (16.7k followers) 1 days ago · 34 likes · 2.3k views · view the original post on X. Kept by the Dev Radar as Other. Tools mentioned: Spark-X2.5.

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