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Poolside released Laguna M.1, their most capable model to date, with a 256K token…

Brief

Poolside launched Laguna M.1 on 2026-06-18, publishing both base and post-trained checkpoints on Hugging Face under Apache 2.0 and advertising a very large 256K context length; Prince Canuma (@Prince_Canuma) congratulated them and announced day‑0 support on MLX, providing the install hint uv pip install -U mlx-vlm to get started.

Why it matters

Poolside released Laguna M.1, their most capable model to date, with a 256K token context window and weights made public on Hugging Face under the Apache 2.0 license.

Key details

  • @Prince_Canuma (Prince Canuma) announces day-0 support for Laguna M.1 on MLX and shares the install command: `uv pip install -U mlx-vlm`.
  • Both base and post-trained checkpoints for Laguna M.1 are available on Hugging Face (announcement posted 2026-06-18 by Poolside).
Source evidence

Congrats to @poolsideai on the launch of Laguna M.1!

We provide day-0 support on MLX 🚀

Get started:

> uv pip install -U mlx-vlm

Poolside (@poolsideai)

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://nitter.net/poolsideai/status/2067623353230217448#m