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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

140,801 次观看 • 21 天前 •via X (Twitter)

51 条评论

Maziyar PANAHI 的头像
Maziyar PANAHI21 天前

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

Xunzhuo 的头像
Xunzhuo21 天前

Thanks Maziyar!

Maziyar PANAHI 的头像
Maziyar PANAHI21 天前

🤗

Xunzhuo 的头像
Xunzhuo20 天前

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. 🪄

汪志鹏 的头像
汪志鹏21 天前

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

Xunzhuo 的头像
Xunzhuo21 天前

Just don’t sleep 🤗🤗

汪志鹏 的头像
汪志鹏20 天前

🐮

Xunzhuo 的头像
Xunzhuo20 天前

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 🤗

hev mind 的头像
hev mind21 天前

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.

Xunzhuo 的头像
Xunzhuo21 天前

Yes we aim to provide more choices to the community

hev mind 的头像
hev mind21 天前

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

Antoine Chaffin 的头像
Antoine Chaffin21 天前

Congratulations on the release! Looks super strong!

Muscle AI 的头像
Muscle AI20 天前

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.

ShadowAguy 的头像
ShadowAguy21 天前

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

Xunzhuo 的头像
Xunzhuo21 天前

Haha 🤗 more to come! 🙇‍♂️

The Singularity Project 的头像
The Singularity Project21 天前

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.

Aaliya 的头像
Aaliya21 天前

I like that there are different model sizes to try.

Xunzhuo 的头像
Xunzhuo21 天前

Yes ! 🙌

UMER AI 的头像
UMER AI21 天前

Impressive scaling from 0.6B to 27B while staying open

Xunzhuo 的头像
Xunzhuo21 天前

Thanks 😊 More to come!

EDDY VU 的头像
EDDY VU21 天前

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

Xunzhuo 的头像
Xunzhuo21 天前

More to come ! 🔥

Anderson 的头像
Anderson21 天前

number one on a leaderboard you graded yourself

CV.YH 的头像
CV.YH21 天前

congrats sir, amazing work!

Xunzhuo 的头像
Xunzhuo21 天前

Thanks : )

Elara AI 的头像
Elara AI20 天前

Incredible scale and performance love seeing this released

RAZA | AI EXPLORER 的头像
RAZA | AI EXPLORER20 天前

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

Sreeram Garlapati 的头像
Sreeram Garlapati20 天前

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.

VrianCao 的头像
VrianCao21 天前

Ahhh?不是才刚刚发布2.0吗??这今天就3.0了?wtf?🫪

Xunzhuo 的头像
Xunzhuo21 天前

Haha yes 🙌

ZenithAi 的头像
ZenithAi20 天前

Open multimodal decision models at this scale is huge news

SHOAIB 的头像
SHOAIB21 天前

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

Chen Yu 的头像
Chen Yu20 天前

Huge collection

Sheral Tech 的头像
Sheral Tech20 天前

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

No Server Needed 的头像
No Server Needed20 天前

#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?

Xunzhuo 的头像
Xunzhuo20 天前

80% private dataset

Amit Nikhade 的头像
Amit Nikhade21 天前

@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

Liam | AI Tools & News 的头像
Liam | AI Tools & News21 天前

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

Xunzhuo 的头像
Xunzhuo20 天前

Indeed!

Shesaidmewakeup 的头像
Shesaidmewakeup21 天前

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?

Alex Ai | Tools & Updates 的头像
Alex Ai | Tools & Updates21 天前

Open multimodal decision models hitting number one is impressive

moose sam 的头像
moose sam20 天前

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

Xunzhuo 的头像
Xunzhuo20 天前

Have fun!!

Ella Tech & Tool 的头像
Ella Tech & Tool20 天前

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.

AgroX 的头像
AgroX20 天前

outstanding work ! amazing model!

Xunzhuo 的头像
Xunzhuo20 天前

Thanks 🚀

Vantix AI Agency 的头像
Vantix AI Agency20 天前

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

kkiran 的头像
kkiran21 天前

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

Tal Fuks 的头像
Tal Fuks21 天前

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

Elise Tech Ai 的头像
Elise Tech Ai20 天前

Hitting #1 across that range open source is impressive

NOOR TECH 的头像
NOOR TECH20 天前

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

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