EU’s New AI ‘EUROPA’ Aims for 1 Trillion Parameters, But Overseas Forums Are Skeptical

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The story

EUROPA, an AI model developed by French AI company Domyn with EU backing, is reportedly aiming for nearly 1 trillion parameters, sparking discussion on the overseas forum Lemmy’s c/europe community. While attention focused on the EU touting this as an “open” AI model, the thread’s first reaction was suspicion about where the training data actually came from — commenters suggested it likely relies on scraped or pirated data, just like other major models. The weights (the model’s actual data) haven’t been released either, and Domyn hasn’t given a firm release date; a June report said Domyn was aiming for release “within the year.” Discussion also turned to just how hard it would be to run a trillion-parameter-class model on personal hardware.

EUROPA, the EU’s “open AI” model, is aiming for nearly 1 trillion parameters

Source: maccus.fr / Read the original article here

What people said

3Anonymous2026-11-15 13:07
Curious what they're actually using for training data. Isn't this just going to be pirated/scraped data like everyone else, in the end?
13Anonymous2026-11-15 14:30
Re: #3 Yeah, the answer's probably yes. Honestly, I'm already sick of this topic.
14Anonymous2026-11-15 15:25
Re: #3 Exactly — 1 trillion parameters is basically "almost everything humanity has ever written" territory.
4Anonymous2026-11-15 11:15
Nice! I wonder how much a home server would even cost to run this at a decent speed (tokens/sec)?
6Anonymous2026-11-15 11:40
Re: #4 Judging by the size of other cutting-edge models on Hugging Face, running this at home looks impossible. Right now the ceiling for squeezing something into 64GB of RAM is around 70–80B parameters at Q4 quantization. Push the compression any harder than that and performance really tanks.
7Anonymous2026-11-15 14:19
Re: #4 If you want a more realistically-sized European open-weight model, check out Ministral. It's French-made — basically a scaled-down version of full-size Mistral. The 27B Ministral 3 model runs just fine on a 12GB card.
10Anonymous2026-11-15 11:35
Re: #4 Domyn hasn't released EUROPA's weight files yet (the files containing the actual parameters that would let anyone run it on their own hardware). Apparently the plan is to release those alongside details of the training methodology once EUROPA ships, though the article gives no specific date. Back in June, Declic Media reported Domyn was aiming for a release "within the year." Guess we just wait and see.
5Anonymous2026-11-15 14:21
Is this going to be open source, or just open weights?
8Anonymous2026-11-15 14:16
Re: #11 Systems with unified memory (like AMD's or Apple's) can scale up to 512GB of RAM.* *Assuming you're willing to pay about as much as a mid-size new car, that is.
11Anonymous2026-11-15 13:32
Re: #6 So right now the ceiling for consumer GPUs is 64GB?
9Anonymous2026-11-15 13:46
Re: #6 Is that 64GB of VRAM or regular RAM? If it's VRAM, that's going to run you about as much as a cheap car.
12Anonymous2026-11-15 14:01
Re: #9 VRAM, obviously.

Background and Key Points of This Discussion

To start, the thread never really settled on what “open” even means here. “Open weight” — releasing only the weights (the parameters themselves) — is different from “open source,” which includes the training code and data too, and many so-called “open” AI models, including Meta’s Llama series, are in practice only open-weight. EUROPA is no different: developer Domyn still hasn’t released the weights and hasn’t even committed to a release date. On top of that, a trillion-parameter-class model simply isn’t something you can run on a personal PC — and even if you could, it would take specialized, expensive hardware. The rule of thumb raised in the thread — “70–80B parameters on 64GB of RAM” — already assumes compression via quantization, and that’s still nowhere close to 1 trillion parameters. As for where the training data comes from, lawsuits over scraping web data without copyright holders’ permission have been piling up across multiple countries, and the underlying point being made is this: even if the EU builds its own “open” model, if it’s using the same methods as everyone else, it’s hard to see how it’s really any different from the major models that came before it.

*This article is translated and excerpted by our editorial team from the overseas forum thread on Lemmy c/europe, “EUROPA, the EU’s open AI model, is aiming for nearly 1 trillion parameters.” Our site takes responsibility for the accuracy of this translation.

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