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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

Profilbild von Macrocosmos
Macrocosmosvor 5 Tagen

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.

Profilbild von Macrocosmos
Macrocosmosvor 5 Tagen

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.

Profilbild von Macrocosmos
Macrocosmosvor 5 Tagen

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.

Profilbild von Macrocosmos
Macrocosmosvor 5 Tagen

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

Profilbild von xTAO - a Bittensor company
xTAO - a Bittensor companyvor 5 Tagen

Good work, team IOTA 👏

Profilbild von SubConnect
SubConnectvor 5 Tagen

Pretty cool, congrats guys!

Profilbild von luis
luisvor 5 Tagen

@Presidentlin

Profilbild von 鼬
鼬vor 5 Tagen

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

Profilbild von Landyn
Landynvor 4 Tagen

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

Profilbild von Kryptonite
Kryptonitevor 5 Tagen

Amazing stuff!

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