# ModelScope releases Ling-3.0-flash-Sante-fp8, a healthcare FP8 model

> Original title: 🩺 Meet Ling-3.0-flash-Sante-fp8!

- Source: ModelScope
- Published: 2026-10-29T14:46:53.000Z
- Bad Influence: https://badinfluence.news/items/hik8kwpw3a20ozne71mql1zrw
- Original: https://x.com/ModelScope2022/status/2115817654216986800

## Summary

ModelScope releases Ling-3.0-flash-Sante-fp8, an FP8 healthcare model with 124B total parameters and 5.1B active per token. It matches the BF16 model's 73.9 average across five healthcare benchmarks and supports a 256K context window, with native reasoning, tool calling, and SGLang or vLLM deployment on compatible hardware. The post says the model is for research use only, not clinical diagnosis or treatment.

## Post

🩺 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 workflows.
• Ready to deploy: Supports SGLang and vLLM on compatible hardware.

🔬 For research use only, not clinical diagnosis or treatment.

![](https://badinfluence.news/api/img-proxy?u=https%3A%2F%2Fpbs.twimg.com%2Fmedia%2FHVzk328aUAAABw9.jpg&mode=thumb&exp=1793491200&sig=501b6a059ce6264d)