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Wop

wop
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https://bench-labs-org.github.io

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AI research AGI

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reacted to Gjusev's post with 🔥 1 day ago
I retracted my own launch claim in public commits, then shipped what survived. MK-SH-1 is a 140M decision model I built on an open encoder. It returns calibrated probabilities, a choice, and an explicit abstention below a frozen gate (tau = 0.79, written down before the curve existed). ECE 0.016 · 90% coverage in-sample; held-out numbers in the card · 106 ms on CPU. https://huggingface.co/Gjusev/MK-SH-1 Demo https://huggingface.co/spaces/Gjusev/MK-SH-1-demo Full record, retraction included https://github.com/Gjusev/MK-SH-1
reacted to tardellirs's post with 🔥 2 days ago
Crivo-150M is now on the Pareto frontier of the Decision Index 🎯 Scored by the maintainers on the private tests: Full 22.21, the best of all submissions at or below 150M and higher than every model below 0.75B, including models up to 4× its size. Median latency on the board's GPU: 13 ms. It is a 149M typed-decision encoder (Ettin / ModernBERT): a state plus choice, noul or score questions in, a probability for every option out, in one forward pass. Trained on open data only. Next: tasks from new domains, the weak spot of every small encoder on the board. https://huggingface.co/tardellirs/crivo-150m https://huggingface.co/spaces/multimodalart/jev-decision-index Thanks to @multimodalart for the Decision Index and its open kit, @orionweller and the Ettin team, @tomaarsen for the Ettin rerankers, @hotchpotch for the Bekko System One data and @sileod for tasksource.
reacted to wayneworkman2012's post with 👀 2 days ago
To all the inference providers behind the HuggingFace router - if you want me to use your services you will have to serve native-precision models. I'm not paying for FP8 when I can run in bf16 locally.
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