Comment by Hanna Yukhymenko

Research engineer at ETH AI Center working on post-training, multilinguality, and alignment for the Apertus open-model series.
“As with every Apertus release, the models are fully open: open weights, open data, open values, and full training details. [...] We also added a series of text-based benchmarks, as well as extended benchmarking for translation and multilingual capabilities, safety, and tool use. [...] We are committed to promoting reproducible and transparent evaluation through Eval Cards and the EEE schema, and encourage other model developers to report their results in the same way, so that scores can be compared across models and organizations.”
Unverified (Oct 15, 2026)
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