Announcement

GITHUB HUGGING FACE TRY ZEN CHAT Today we are announcing Zen LM — a family of open frontier models co-developed by Hanzo AI and Zoo Labs Foundation. This release marks the public launch of the Zen model catalog: 94+ models spanning text, vision, audio, and code, all built on our Zen MoDE (Mixture of Distilled Experts) architecture. Why We Built It Modern AI infrastructure concentrates capability in a small number of proprietary systems....

Today we release Zen 3.0, our third-generation language model family. Zen 3 represents a step change in what open models can do. Model Family Zen 3 comes in several sizes: Model Parameters Context Training Tokens Zen-3-8B 8.1B 128K 15T Zen-3-32B 32.5B 128K 12T Zen-3-72B 72.3B 128K 10T Zen-3-MoE 141B (24B active) 128K 14T All models use the same architecture with scaled dimensions. All are released under Apache 2.0. Architecture Highlights Extended Context All Zen 3 models support 128K token context natively:...

Three years ago, we started Zen with a simple belief: AI should be open, decentralized, and governed by its community. Today we formalize that mission with the launch of Zoo Labs Foundation. Why a Foundation? The work we’re doing transcends any single company. Open AI development, decentralized science, and community governance require sustained, mission-driven effort. A foundation structure ensures: Mission permanence: The foundation’s charter protects the mission from commercial pressures Community ownership: Governance tokens give stakeholders genuine control Research independence: Researchers pursue important problems, not just profitable ones Open infrastructure: Tools and systems remain open and accessible The Foundation’s Mission Zoo Labs Foundation exists to advance open AI research and decentralized science....

Today we’re announcing Zen, an open AI research initiative from Zoo Labs Foundation. Why Zen? The current trajectory of AI development concentrates power in a handful of organizations. Models are trained on humanity’s collective knowledge, yet the resulting systems remain proprietary. We believe there’s a better path. Zen represents our commitment to building AI that is: Open: All research, weights, and training methodologies published freely Decentralized: No single point of control or failure Aligned: Built with explicit mechanisms for community governance Efficient: Optimized for accessibility, not just raw capability The Technical Foundation We’re starting with a focus on three areas:...