inclusionAI/Ling-3.0-flash-Sante

text-generation model by inclusionAI

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🤗 Hugging Face   |   🤖 ModelScope    |   🐙 Vercel    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. We evaluate Ling-3.0-flash-Sante across professional healthcare tasks, medical knowledge and safety, complex reasoning, deep research, multi-agent collaboration, and tool-assisted agent benchmarks. The table below summarizes the results shown in the evaluation figure. Evaluation settings The official model identifier is inclusionAI/Ling-3.0-flash-Sante. Use the Ling-3.0-compatible SGLang image: The following example launches an OpenAI-compatible server with a 256K context…

inclusionAI/Ling-3.0-flash-Sante on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. Introduction
  2. Highlights
  3. Evaluation
  4. Quickstart
  5. SGLang
  6. vLLM
  7. Intended Use
  8. Limitations and Responsible Use

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Model overview

inclusionAI/Ling-3.0-flash-Sante is a text-generation model repository published by inclusionAI on Hugging Face. A library was not reported.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
text-generation
Library
Not reported
Recent downloads (30 days)
906
Cumulative likes
75
Hugging Face trending score
74
Reported safetensors parameters
127,486,405,600
Architecture
BailingMoeV3ForCausalLM
License
mit
Access
Not gated by Hugging Face
Created
2026-10-19T17:30:04.000Z
Last modified
2026-10-22T14:53:04.000Z

Compatibility and lineage

Language coverage was not reported.

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

Use and evaluate

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Model card and usage instructions

Model files and configuration

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-10-29T06:47:43.046Z. Daily imports are snapshots, not real-time monitoring.

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