Poolside releases Laguna M.1, a 225B MoE model for agentic coding

huggingface.co

Laguna M.1 is a 225B total parameter mixture-of-experts model with 23B activated parameters per token and 256K context length, designed for agentic coding and long-horizon tasks. The weights are publicly released for both base and instruction-tuned versions.

Mixture of experts

See 1 more source

RT @poolsideai: Today we’re releasing the weights for Laguna M.1, our most capable model to date,...1 day agoHugging Face

huggingface.co·via r/LocalLLaMA·Discuss

Jun 18, 4:30 PM