M.1 and XS.2 remain available for free on our API and through @OpenRouter We are launching dedicated paid endpoints for both models on OpenRouter for more demanding work. Open weights are now our default. We’ll keep building toward the frontier and releasing increasingly
Today we’re releasing the weights for Laguna M.1, our most capable model to date, with a 256K context length. Both base and post-trained checkpoints are now available on Hugging Face under Apache 2.0. https://t.co/gMWuYo8zN1
Today we’re releasing Laguna XS.2, Poolside’s first open-weight model. It’s a 33B total / 3B active MoE model built for agentic coding and long-horizon tasks. Trained fully in-house on our own stack. Runs on a single GPU. Released under Apache 2.0. Links 👇 Weights: https://t.co/034MkPCZmI
