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Swiss AI Initiative | https://www.swiss-ai.org/ | Hybrid/ONSITE (in Europe) We are a young team, and the creators of the Apertus LLM, the currently leading open-data open-weights A…

yes this seems a good way to go. for example you can already find many quantized versions under https://huggingface.co/models?search=apertus%20mlx and elsewhere

thank you!

We hear you, nevertheless this is one of the very few open-weights and open-data LLMs, and the license is still very permissive (compare for example to Llama). Personally of course…

The pretraining (so 99% of training) is fully global, in over 1000 languages without special weighting. The posttraining (See section 4 of the paper) had also as many languages as …

common crawl anyway respects the CCbot opt-out every time they do a crawl. we went a step further because back in old ages (2013 is our oldest training data) LLMs did not exist, so…

martin here from the apertus team, happy to answer any questions if i can. the full collection of models is here: https://huggingface.co/collections/swiss-ai/apertus-llm-68b6... PS…

we compared to GPT-OSS-20B, Llama 4, Qwen 3, among many others. Which models do you think are missing, among open weights and fully-open models? Note that we have a specific focus …

we didn't have time to write one yet, but there is the tech report which has a lot of details already

posttraining codebase is here: https://github.com/swiss-ai/posttraining

we released 81 intermediate checkpoints of the whole pretraining phase, and the code and data to reproduce. so full audit is surely possible - still it would depend on what you con…

benchmarks: we provide plenty in the over 100 page tech report here https://github.com/swiss-ai/apertus-tech-report/blob/main/Ap... quantizations: available now in MLX https://gith…

this is what this paper tries to answer: https://arxiv.org/abs/2504.06219 the quality gap is surprisingly small between compliant and not

absolutely! i've sent you a linkedin message last week. but here seems to work much better, thanks a lot!

we kept all 1800+ (script/language) pairs, not only the quality filtered ones. the question if a mix of quality filtered and not languages impacts the mixing is still an open quest…

no. the main source is fineweb2, but with additional filtering for compliance, toxicity removal, and quality filters such as fineweb2-hq

Yes this is an interesting question. In our arxiv paper [1] we did study this for news articles, and also removed duplicates of articles (decontamination). We did not observe an im…

No, the model has nothing do to with Llama. We are using our own architecture, and training from scratch. Llama also does not have open training data, and is non-compliant, in cont…

animation of it: https://youtu.be/ewg36czOOiI?si=moL9g9Xz2-vVClZX

it takes quadratically more time the larger your context is.

The current systems like chatGPT actually have just such two parts. One is the raw LLM as you describe. The second one is another network acting as a filter on top of the first one…