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Quasar 438B: Europe's Leading AI Model

multiversecomputing.com

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Re: Quasar 438B: Europe's Leading AI Model

#51

Post by Roark66 »

When the weights are closed I don't believe any benchmark.

I just got Qwen3.8-27B to score extra 10% on SWE Pro by adding a proxy in front of it that has few simple "harness like features": - when the model gets stuck it tells it to "go on" - when it sends no output, malformed json, slips to wrong tool use format, etc it asks it to "try again better" - detects repetition and tells the model. - injects a prompt about "planning tool use" when it seems to be using same tools repeatedly. - injects a reminder it can use tools if there are no tool uses for over X messages.

10% - with just that.

I have more to test. My point is, open weights models get tested on naked model quality. "Frontier" models get tested as a model + whatever secret sauce they choose to put in front.

Re: Quasar 438B: Europe's Leading AI Model

#53

Post by dorkypunk »

amelius wrote: post #7

What I want is a model that is trained with data that is openly available, where the data is curated by academia. I don't want corporate crap in my AI (unless it has been filtered properly).

There are models that do that, for example the Olmo family of models, although they have Gemma 3 performance levels for that matter.

Re: Quasar 438B: Europe's Leading AI Model

#54

Post by em500 »

walrus01 wrote: post #33
ovi256 wrote: post #32

Earlier quoted context omitted.

> That's a niche which exists It's not a small niche. Anything touching European resident personal data must only be done by Euro AI Act compliant AIs. So, hosted in Europe at least (unclear to me rn, would love to learn the exact criteria).

But is it compliant if someone runs, for example, self-hosted GLM5.3 on euro owned and administered hardware that's located in Europe? That would remove a lot of the incentive for there to be EU labs building models.

It seems that Mistral is moving in that direction anyway:

"Our customers particularly value us for pioneering open models. Open weights give them what mission-critical work demands: the ability to see inside a model, adapt it, and retain the intelligence they build with it. This is why we are enthusiastic contributors to the Open Secure AI Alliance and NVIDIA Nemotron Coalition. We are now extending that openness beyond our own models. Mistral’s platform will support third-party open models, starting with Z.ai’s GLM-5.2."

[August 11, 2026] https://mistral.ai/news/regional-inference-open-models-new-c...

Re: Quasar 438B: Europe's Leading AI Model

#55

Post by PorciiVorbesc »

Achterlangs wrote: post #44
PorciiVorbesc wrote: post #42

Earlier quoted context omitted.

>For instance, I heard one of the Chinese models has some interesting "history" "facts" built into it EU models will also have such guard rails built in to "protect" the EU population from "misinformation" and uncomfortable facts and the EU elite don't want publicly known/discussed. Like I saw a post from German EU MEP where they asked the internal on-prem AI they have there "how can you vote out out Ursula v.d. Leye…

Source?

Fixed.

https://x.com/AndersonAfDMdEP/status/2072223785902633138

Re: Quasar 438B: Europe's Leading AI Model

#56

Post by pu_pe »

The company sounds like a bunch of hot air to me. From their about page:

> At the heart of Multiverse's platform is CompactifAI, a compression technology that applies tensor networks, a mathematical framework from quantum physics, to the problem of AI model compression. This application was pioneered by co-founder and Chief Scientific Officer Dr. Román Orús and reduces the size of large language models by up to 80-95% with immaterial accuracy loss.

Ironic, considering they are releasing a 438B model that loses to a 27B one. From another part:

> Singularity Machine Learning is a cloud service that uses quantum machine learning for solving supervised learning problems.

I wouldn't be surprised if these guys just finetuned an open Chinese model and called it a day.

Re: Quasar 438B: Europe's Leading AI Model

#57

Post by yorwba »

em500 wrote: post #24
walrus01 wrote: post #11

I do not want open weight models from China to be the only viable locally hosted things (deepseek v4 flash 0731 Q8, qwen 3.8-flash-next Q8, GLM-5.3-Flash) in the under 200GB RAM class. I want to see things like Mistral and Laguna (non-CN) succeed. I have spent about a week using Laguna S 2.1 as a test and while I wasn't blown away by its capabilities, it's also totally acceptable for many purposes. I do hope these Qu…

I understood from informal chatter that researchers in the top Chinese labs are pretty open with sharing knowledge with each other. Additionally, it seems that anywhere between 30-50% of key researchers in the top US labs are ethnically Chinese. I wonder if this situation might give Chinese labs/researches some advantage just due to language and informal networks. Chinese researchers can understand all the English re…

Chinese ML researchers primarily publish in English and only secondarily in Chinese. For example, take the Qwen-3.8-Next blog post https://qwen.ai/blog?id=qwen3.8-flash-next (which apparently doesn't include the language choice in the URL, so you'll need to switch to the 简体中文 translation manually). Even in the Chinese version, the "Hugging Face", "Tech Report" and "FlashQLA" links point to English documents, and the ModelScope link has a brief flash of English content before autotranslation kicks in to turn it into Chinese. I'm not sure what is used on the Qwen Discord, but I would guess it's a mix of languages.

Personal communication is of course different from official documentation, but a researcher who wants to establish a working relationship with Chinese colleagues could easily do so while communicating entirely in English.

Re: Quasar 438B: Europe's Leading AI Model

#58

Post by fantyoon »

I might be misreading this. But they seem to heavily imply that they trained this model. Or at least want to give off the impression that that is the case. Otherwise the "Europe's Leading Model" line doesn't make much sense.

Their bread and butter is to remove parameters from models [1] and I think this is GLM 5.2 with parameters removed. Its advertised in their changelog [2] as "capabilities are identical to GLM 5.2," it has the same two effort settings "high" and "max," and both are text only [3]. I might be wrong about this, but I would love to hear more about what they did before changing my mind.

Not the greatest fan of the marketing personally. Irrespective of what this model is.

[1]: https://multiversecomputing.com/compactifai/deployment

[2]: https://docs.compactif.ai/changelog/#added-3

[3]: https://docs.compactif.ai/features/multi-modality/#compatibi...

Re: Quasar 438B: Europe's Leading AI Model

#59

Post by V1ndaar »

Multiverse Computing is one of the weirdest companies I've encountered here in Europe/Spain. Their product / job application descriptions are just technobabble.

Despite my doubts I applied to one of their positions a couple of years back only to receive a super late and generic "we are not moving forward" mail (I'd say I fit pretty damn well for the position, but it seems to be the new normal that most companies don't even want to chat with people 99% of the time).

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