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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

140,435 просмотров • 18 дней назад •via X (Twitter)

Комментарии: 51

Фото профиля Maziyar PANAHI
Maziyar PANAHI17 дней назад

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

Фото профиля Xunzhuo
Xunzhuo17 дней назад

Thanks Maziyar!

Фото профиля Maziyar PANAHI
Maziyar PANAHI17 дней назад

🤗

Фото профиля Xunzhuo
Xunzhuo16 дней назад

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. 🪄

Фото профиля 汪志鹏
汪志鹏18 дней назад

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

Фото профиля Xunzhuo
Xunzhuo18 дней назад

Just don’t sleep 🤗🤗

Фото профиля 汪志鹏
汪志鹏17 дней назад

🐮

Фото профиля Xunzhuo
Xunzhuo17 дней назад

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 🤗

Фото профиля hev mind
hev mind17 дней назад

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.

Фото профиля Xunzhuo
Xunzhuo17 дней назад

Yes we aim to provide more choices to the community

Фото профиля hev mind
hev mind17 дней назад

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

Фото профиля Antoine Chaffin
Antoine Chaffin18 дней назад

Congratulations on the release! Looks super strong!

Фото профиля Muscle AI
Muscle AI17 дней назад

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.

Фото профиля ShadowAguy
ShadowAguy17 дней назад

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

Фото профиля Xunzhuo
Xunzhuo17 дней назад

Haha 🤗 more to come! 🙇‍♂️

Фото профиля The Singularity Project
The Singularity Project17 дней назад

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.

Фото профиля Aaliya
Aaliya18 дней назад

I like that there are different model sizes to try.

Фото профиля Xunzhuo
Xunzhuo18 дней назад

Yes ! 🙌

Фото профиля UMER AI
UMER AI17 дней назад

Impressive scaling from 0.6B to 27B while staying open

Фото профиля Xunzhuo
Xunzhuo17 дней назад

Thanks 😊 More to come!

Фото профиля EDDY VU
EDDY VU18 дней назад

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

Фото профиля Xunzhuo
Xunzhuo17 дней назад

More to come ! 🔥

Фото профиля Anderson
Anderson17 дней назад

number one on a leaderboard you graded yourself

Фото профиля CV.YH
CV.YH17 дней назад

congrats sir, amazing work!

Фото профиля Xunzhuo
Xunzhuo17 дней назад

Thanks : )

Фото профиля Elara AI
Elara AI17 дней назад

Incredible scale and performance love seeing this released

Фото профиля RAZA | AI EXPLORER
RAZA | AI EXPLORER16 дней назад

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

Фото профиля Sreeram Garlapati
Sreeram Garlapati17 дней назад

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.

Фото профиля VrianCao
VrianCao17 дней назад

Ahhh?不是才刚刚发布2.0吗??这今天就3.0了?wtf?🫪

Фото профиля Xunzhuo
Xunzhuo17 дней назад

Haha yes 🙌

Фото профиля ZenithAi
ZenithAi17 дней назад

Open multimodal decision models at this scale is huge news

Фото профиля SHOAIB
SHOAIB17 дней назад

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

Фото профиля Chen Yu
Chen Yu17 дней назад

Huge collection

Фото профиля Sheral Tech
Sheral Tech16 дней назад

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

Фото профиля No Server Needed
No Server Needed16 дней назад

#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?

Фото профиля Xunzhuo
Xunzhuo16 дней назад

80% private dataset

Фото профиля Amit Nikhade
Amit Nikhade17 дней назад

@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

Фото профиля Liam | AI Tools & News
Liam | AI Tools & News17 дней назад

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

Фото профиля Xunzhuo
Xunzhuo17 дней назад

Indeed!

Фото профиля Shesaidmewakeup
Shesaidmewakeup18 дней назад

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?

Фото профиля Alex Ai | Tools & Updates
Alex Ai | Tools & Updates17 дней назад

Open multimodal decision models hitting number one is impressive

Фото профиля moose sam
moose sam17 дней назад

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

Фото профиля Xunzhuo
Xunzhuo17 дней назад

Have fun!!

Фото профиля Ella Tech & Tool
Ella Tech & Tool16 дней назад

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.

Фото профиля AgroX
AgroX17 дней назад

outstanding work ! amazing model!

Фото профиля Xunzhuo
Xunzhuo17 дней назад

Thanks 🚀

Фото профиля Vantix AI Agency
Vantix AI Agency17 дней назад

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

Фото профиля kkiran
kkiran17 дней назад

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

Фото профиля Tal Fuks
Tal Fuks17 дней назад

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

Фото профиля Elise Tech Ai
Elise Tech Ai16 дней назад

Hitting #1 across that range open source is impressive

Фото профиля NOOR TECH
NOOR TECH17 дней назад

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

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