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Join 2,000+ developers creating the next generation of powerful, efficient AI with our industry-leading stack and community of experts and innovators.
Code examples, apps, end-2-end tutorials and live events, to get Liquid models running in your preferred platform, from edge to cloud.
Complete documentation for Liquid Foundation Models and LEAP—covering API references, deployment guides, and framework integration. Everything you need to go from first call to production.
Code examples, apps, and end-to-end tutorials from the Liquid AI team and the Community. Runnable implementations for text-to-text, vision, composable agentic workflows, fine-tuning, and on-device deployment across different platforms.
Join technical workshops, AMAs with Liquid AI engineers, and community hackathons where we get our hands-dirty building real-world solutions using LFM models.
Our hackathons bring together curious minds, builders, researchers, and explorers, to push the edges of what’s possible in AI engineering. Our hackathons run online and in person, creating spaces where you can experiment with frontier models, collaborate directly with the Liquid AI team, and build the next wave of efficient AI.
First-hand access to new tools & features
Work with capabilities the Liquid AI team is developing before they’re publicly released.
LEAP is the unified developer platform for building and deploying LFMs on any device, creating high-performance, privacy-first AI that runs anywhere. Purpose-built for developers who want enterprise-grade AI on their own devices.
Apollo makes Liquid’s edge AI accessible to everyone. Giving youprivate, lightning-fast intelligence that runs entirely on your device. The sameLiquid models trusted by enterprises, now optimized for everyday use.
Get Apollo for free
Vibe check LFMs directly on your phone.
Instantly spin up the latest LFM2 checkpoints (350M–1.2B) right in your browser—no setup required. Benchmark performance side-by-side with leading models like Qwen and Gemma. Perfect for rapid prototyping and testing edge-ready models.
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