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Introducing Decision 3.0: towards open multimodal foundation decision models ⚡ Open and state-of-the-art from 0.6B to 27B: #1 on both Jev Decision Index boards in our evaluation, on a new Pareto frontier. HF collection 🤗: #OpenSource #Jev #LLM

139,987 Aufrufe • vor 15 Tagen •via X (Twitter)

51 Kommentare

Profilbild von Maziyar PANAHI
Maziyar PANAHIvor 15 Tagen

Congratulations! Would love to get Decision 3.0 models on EdgeEvals clinical system one benchmark 🔥

Profilbild von Xunzhuo
Xunzhuovor 15 Tagen

Thanks Maziyar!

Profilbild von Maziyar PANAHI
Maziyar PANAHIvor 15 Tagen

🤗

Profilbild von Xunzhuo
Xunzhuovor 14 Tagen

All sizes of d3 models published at official jev decision index, and 5 of 6 released models (except the smallest 0.6B , also top2 at the same size), reached at the pareto frontier. This means, no matter which model you wanto to pick, it is always the best at the same size. 🪄

Profilbild von 汪志鹏
汪志鹏vor 15 Tagen

You guys are way too fast, what's your secret? 😏

Profilbild von Xunzhuo
Xunzhuovor 15 Tagen

Just don’t sleep 🤗🤗

Profilbild von 汪志鹏
汪志鹏vor 15 Tagen

🐮

Profilbild von Xunzhuo
Xunzhuovor 14 Tagen

Officially d3 is the new top now! This is the celebration to the open source ecosystem, power of the community and great minds meet together to push the new SOTA 🤗

Profilbild von hev mind
hev mindvor 15 Tagen

A single recipe holding the top spot from 0.6B to 27B is the real result — most releases only show that at one scale. We have seen decision models land close to purpose-built rerankers on quality once the request shape is right; good to see it hold at the small end too.

Profilbild von Xunzhuo
Xunzhuovor 15 Tagen

Yes we aim to provide more choices to the community

Profilbild von hev mind
hev mindvor 15 Tagen

Open weights across that whole range make the scale-quality curve checkable against the closed Jev board, not just claimed.

Profilbild von Antoine Chaffin
Antoine Chaffinvor 15 Tagen

Congratulations on the release! Looks super strong!

Profilbild von Muscle AI
Muscle AIvor 14 Tagen

Open weights for decision models is the right move, but one caveat from production experience: topping a decision index doesn't transfer cleanly. Decision quality is brutally task-specific — the mix of calls, retries and escalations your harness actually makes rarely matches a benchmark's distribution. The teams that win with this will be the ones who build their own eval over their own decision traces, not the ones who pick the index leader. Open weights mean everyone can run that eval locally. That's the real unlock.

Profilbild von ShadowAguy
ShadowAguyvor 15 Tagen

0.6B to 27B in one release, my weekly quota still dies at the same spot

Profilbild von Xunzhuo
Xunzhuovor 15 Tagen

Haha 🤗 more to come! 🙇‍♂️

Profilbild von The Singularity Project
The Singularity Projectvor 15 Tagen

Small open decision models are the quiet half of this story. A 0.6B gate that knows when to wake the big model is how intelligence moves onto hardware people own. A smarter model alone is not necessarily a better intelligence system. The routing is the system.

Profilbild von Aaliya
Aaliyavor 15 Tagen

I like that there are different model sizes to try.

Profilbild von Xunzhuo
Xunzhuovor 15 Tagen

Yes ! 🙌

Profilbild von UMER AI
UMER AIvor 15 Tagen

Impressive scaling from 0.6B to 27B while staying open

Profilbild von Xunzhuo
Xunzhuovor 15 Tagen

Thanks 😊 More to come!

Profilbild von EDDY VU
EDDY VUvor 15 Tagen

Pushing open multimodal decision models onto a new Pareto frontier like this is a huge win for the community.

Profilbild von Xunzhuo
Xunzhuovor 15 Tagen

More to come ! 🔥

Profilbild von Anderson
Andersonvor 15 Tagen

number one on a leaderboard you graded yourself

Profilbild von CV.YH
CV.YHvor 15 Tagen

congrats sir, amazing work!

Profilbild von Xunzhuo
Xunzhuovor 15 Tagen

Thanks : )

Profilbild von Elara AI
Elara AIvor 14 Tagen

Incredible scale and performance love seeing this released

Profilbild von RAZA | AI EXPLORER
RAZA | AI EXPLORERvor 14 Tagen

Exciting progress for open multimodal AI. Strong performance across model sizes makes this especially interesting for real-world applications.

Profilbild von Sreeram Garlapati
Sreeram Garlapativor 15 Tagen

Finally seeing open decision models that cover the full size range instead of just one flagship. Beating closed 9B models is nice on paper, but self-reported #1 rankings always need outside verification.

Profilbild von VrianCao
VrianCaovor 15 Tagen

Ahhh?不是才刚刚发布2.0吗??这今天就3.0了?wtf?🫪

Profilbild von Xunzhuo
Xunzhuovor 15 Tagen

Haha yes 🙌

Profilbild von ZenithAi
ZenithAivor 14 Tagen

Open multimodal decision models at this scale is huge news

Profilbild von SHOAIB
SHOAIBvor 15 Tagen

We need quantizations and a way to serve in prod want to use it for video CCTV alert system for that need batching efficient serving

Profilbild von Chen Yu
Chen Yuvor 15 Tagen

Huge collection

Profilbild von Sheral Tech
Sheral Techvor 14 Tagen

Impressive open source milestone Scaling from 0.6B to 27B is exciting.

Profilbild von No Server Needed
No Server Neededvor 14 Tagen

#1 on both boards "in our evaluation" is doing a lot of work in that sentence. got a held-out set, or is this the eval the index was built on?

Profilbild von Xunzhuo
Xunzhuovor 14 Tagen

80% private dataset

Profilbild von Amit Nikhade
Amit Nikhadevor 15 Tagen

@ClementDelangue congrats on the launch. the blender demo shows where this gets real: once a model decides refunds, the next question is which decisions it can make alone and which ones need a human yes. curious if you're looking at confidence thresholds for that

Profilbild von Liam | AI Tools & News
Liam | AI Tools & Newsvor 15 Tagen

The smaller models might end up being the bigger story here.

Profilbild von Xunzhuo
Xunzhuovor 15 Tagen

Indeed!

Profilbild von Shesaidmewakeup
Shesaidmewakeupvor 15 Tagen

A range from 0.6B to 27B is useful, since the right size depends on how fast the router has to be. Which size would you start with for text routing, and how well does the multimodal side hold up on screenshots?

Profilbild von Alex Ai | Tools & Updates
Alex Ai | Tools & Updatesvor 15 Tagen

Open multimodal decision models hitting number one is impressive

Profilbild von moose sam
moose samvor 15 Tagen

multimodal decision models at 0.6B is wild, testing this today

Profilbild von Xunzhuo
Xunzhuovor 15 Tagen

Have fun!!

Profilbild von Ella Tech & Tool
Ella Tech & Toolvor 14 Tagen

This is awesome. Open, multimodal, and topping both Jev Decision Index boards from 0.6B to 27B is huge. Pushing a new Pareto frontier and keeping it open source too really exciting to see.

Profilbild von AgroX
AgroXvor 15 Tagen

outstanding work ! amazing model!

Profilbild von Xunzhuo
Xunzhuovor 15 Tagen

Thanks 🚀

Profilbild von Vantix AI Agency
Vantix AI Agencyvor 14 Tagen

Open multimodal and topping the boards from 0.6B to 27B huge launch

Profilbild von kkiran
kkiranvor 15 Tagen

Wow, Vision support is what was lacking from others. Great work, the opens new frontiers!

Profilbild von Tal Fuks
Tal Fuksvor 15 Tagen

a family from 0.6b to 27b is the interesting part to me, does a fine tune or adapter made on one size carry to the others or does every size need its own, that seems like the missing piece for model families

Profilbild von Elise Tech Ai
Elise Tech Aivor 14 Tagen

Hitting #1 across that range open source is impressive

Profilbild von NOOR TECH
NOOR TECHvor 14 Tagen

Decision 3.0 sounds groundbreaking, open multimodal models from 0.6B to 27B topping Jev boards is hugely impressive work

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