Spanish ‘soonicorn’ Multiverse Computing releases free compressed AI model

February 24, 2026 at 11:32 PM UTC
TechCrunch Europe
Original: EN
Spanish ‘soonicorn’ Multiverse Computing releases free compressed AI model

Spanish startup Multiverse Computing has made a significant contribution to the open-source AI landscape with the release of a compressed version of its HyperNova 60B model on Hugging Face. This move, positioning it as a strong contender against existing models like Mistral's, underscores a growing European effort to develop and democratize advanced AI technologies, fostering greater digital sovereignty. The availability of such powerful yet accessible tools is crucial for European researchers and businesses seeking to innovate independently. The HyperNova 60B model boasts an impressive parameter count, offering substantial AI capabilities for a wide range of applications. By releasing a compressed version, Multiverse Computing ensures that this sophisticated technology is more readily deployable, requiring less computational power and storage, which democratizes access and lowers the barrier to entry for smaller entities. This strategic release directly addresses the need for efficient and performant AI solutions that can be integrated into diverse digital ecosystems without requiring massive infrastructure investments. This initiative directly benefits European developers, startups, and established companies by providing them with advanced AI tools that can power new products and services, bolstering the region's competitiveness. The widespread adoption of such European-developed AI models could diminish reliance on non-European alternatives, strengthening the continent's digital autonomy. The open-source nature of the release further encourages collaboration and rapid advancement within the European AI community, paving the way for future innovations.

Curated and translated by Europe Digital for our multilingual European audience.

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Publication: TechCrunch Europe
Published: February 24, 2026 at 11:32 PM UTC
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