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Introducing IOTA Decide 4B, our first public model. Pareto optimal. Built different. Trained across globally distributed GPUs with our SDK. Open weights, Apache-2.0. 🤗
136,815 Aufrufe • vor 5 Tagen •via X (Twitter)
10 Kommentare

78.6 on the JevBench composite -- balancing capability, calibration, speed and cost. Ranking top 10 of 300+ systems, open and closed, within 3 points of #1, despite having only 4B params.

IOTA Decide 4B sits on the Pareto frontier: no smaller model scores higher. It's cheap to run. ~$0.0037 per 1,000 decisions self-hosted.

Led by @v_truba based on Qwen3.5-4B and trained using ~879k decision examples. But built different: - Trained distributed, end to end, using streaming DiLoCo across 16 RTX A4000s. - Training data came from our own stack: we generated and labelled it with distributed batch inference.

IOTA Decide 4B is our first open model, but it won't be our last. Build with us: 🌐

Good work, team IOTA 👏

Pretty cool, congrats guys!

@Presidentlin

a usable 4b out of globally distributed training is the actual news to me, the model itself is almost secondary

Just found this on the "Latest Market News" tab on coingecko as well. Pretty cool to see it there

Amazing stuff!
