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@sudoingX

GPU/local LLM. more RAM and OSS... everywhere
Bangkok, Thailand Joined August 2022
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Sudo su Verified account @sudoingX
okay! this one is interesting if you run 2x dgx sparks

ant ling open sourced ling 3.0-flash sante, their health model, and the official fp8 is 128.4 gb, too big for one spark and it fits across two

> 124b total, 5.1b active
> 256k context, mit license

i boxed the 4 panels where it beats every open model on their chart, kimi k3 at 2.8t included, and two of the three closed ones

> healthbench pro 54.3 vs opus 4.8 49.4
> diagnosisarena 79.2 vs kimi k3 78.4
> hle w/ tools 57.1 vs gpt-5.6 sol 56.6
> gpt-5.6 sol ahead on 3, opus on hle

those are their numbers, the weights are already pulled on both my sparks and i'm testing it now
Ant Ling Verified account @AntLingAGI Oct 22
Today, we’re officially open-sourcing Ling-3.0-flash-Sante.
Sante is a healthcare-enhanced MoE model with 124B total parameters and only 5.1B active parameters per token, delivering leading performance among similarly sized models on professional healthcare tasks and complex medical reasoning.
Beyond answering medical questions, Sante is built for real-world healthcare research and workflows, with strengthened capabilities in deep research, multi-agent collaboration, and tool use.
The model weights are now available — we welcome researchers, developers, and healthcare practitioners to explore Sante and build with it.
More below ↓
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