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LatestSwiss Ai1.5
Swiss AiText / LLM

Apertus v1.5 70B arrives with an Apache-2.0 license

Switzerland's open-model effort ships a 70-billion-parameter, multilingual and multimodal system that anyone can use, modify, and deploy.

Jul 24, 2026
NotableApache 2.0
Apertus v1.5 70B

The Swiss AI initiative has published Apertus v1.5 70B, a 70-billion-parameter model released on Hugging Face under the permissive Apache-2.0 license. It is described as a multilingual system with multimodal capability, handling both text and images.

The headline detail here is less about raw size than about openness. At 70B parameters, Apertus sits in the class of models large enough to be broadly capable but still runnable outside hyperscale data centers. Pairing that with an Apache-2.0 license means researchers and companies can fine-tune, redistribute, and build commercial products on top of it without the usage restrictions that accompany many so-called open releases.

Why it matters

Europe has been searching for credible, fully open alternatives to models from large US labs, and a Swiss-backed effort adds welcome geographic and institutional diversity to that landscape. Key points from the release:

  • A dense 70B model (not a mixture-of-experts design)
  • Multilingual coverage plus image understanding
  • Truly permissive Apache-2.0 terms for commercial and research use

Some specifics remain unstated in the model card, including the context window and detailed benchmark results, so teams evaluating Apertus for production will want to test it against their own workloads. For an ecosystem that increasingly values reproducibility and clear licensing, though, a capable 70B model with no strings attached is a meaningful addition.

Sources

  • swiss-ai/Apertus-v1.5-70B

    Hugging Face

    Visit
OlderMicrosoft's VibeVoice ASR Goes BitNet for CPU SpeechMicrosoft · Speech → Text · 3 months agoNewerMicrosoft's Mage-VL Streams Video NativelyMicrosoft · Vision-Language · 3 months ago

Get the model

Hugging Face

Specs

Parameters70B
Size144.6 GB
PrecisionBF16
ArchitectureApertus1p5ForConditionalGeneration
LicenseAPACHE-2.0
Downloads8.6K
Likes138

Can you run it?

Needs a workstation GPU (48 GB) at 4-bit.

  • BF16 (as published)

    2×H100 80 GB · 256 GB Mac Studio

    149 GB
  • 8-bit

    H200 141 GB or 2×80 GB · 192 GB Mac Studio

    81 GB
  • 4-bit

    48 GB GPU (RTX 6000) or 2×24 GB · 64 GB Mac

    47.8 GB
Your machine
  • KV cache approximated from model size (no config metadata) at 8,192 tokens.

Based on Hugging Face weights metadata. Assumes an 8K context and ~1 GB runtime overhead; actual needs vary. How we estimate


Modalities

Text / LLMVision-Language

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