Model ID
inclusionAI/Ling-3.0-flash-Sante
Capabilities
Ling 3.0 Flash Sante
Ling 3.0 Flash Sante is a healthcare-specialized Mixture-of-Experts model built on Ling 3.0 Flash for medical reasoning, healthcare research, and tool-assisted workflows. It has 124B total parameters with 5.1B active, arranged in a 42-layer backbone with 2,560 hidden size, 32 attention heads, and 32 KV heads. Five Kimi Delta Attention layers alternate with one gated MLA layer, and each MoE layer routes tokens to 8 of 512 experts plus a shared expert. Supporting a 256K-token context, it runs in thinking mode by default with a Multi-Token Prediction layer.
About this model
Ling 3.0 Flash Sante is a healthcare-specialized Mixture-of-Experts model built on Ling 3.0 Flash for medical reasoning, healthcare research, and tool-assisted workflows. It has 124B total parameters with 5.1B active, arranged in a 42-layer backbone with 2,560 hidden size, 32 attention heads, and 32 KV heads. Five Kimi Delta Attention layers alternate with one gated MLA layer, and each MoE layer routes tokens to 8 of 512 experts plus a shared expert. Supporting a 256K-token context, it runs in thinking mode by default with a Multi-Token Prediction layer.
Model specifications and capabilities are published by the model author and reproduced here from HF Model Card (inclusionAI/Ling-3.0-flash-Sante). Released under MIT.
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Hardware
B200
1,440 GB
Engine
vLLM
SGLang
Deployment code
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Performance under load
Tokens/s (total)
Benchmarks measured by Vultr on B200 · SGLang. Throughput and latency vary with concurrency, input length and engine configuration, so treat these as a comparison baseline, not a service guarantee.
NVIDIA HGX B200
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