Poolside Releases Laguna XS.2: First Open-Weight Coding Model That Runs on a Single GPU

Poolside's First Open-Weight Release

On April 28, 2026, Poolside AI released Laguna XS.2 and Laguna M.1 simultaneously. XS.2 is the company's first model with open weights, released under Apache 2.0.

Specifications

Architecture: 33B total / 3B active MoE

Training: 30T tokens, fully in-house infrastructure

SWE-bench Verified: 68.2%

SWE-bench Pro: 44.5%

SWE-bench Multilingual: 62.4%

Terminal-Bench 2.0: 30.1%

Hardware: Single GPU with 36GB RAM (runs on Apple M-series via Ollama)

License: Apache 2.0

Architecture

XS.2 uses sigmoid gating with per-layer rotary scales and a mixed Sliding Window Attention / global attention layout in a 3:1 ratio across 40 layers. The model was trained entirely on Poolside's own in-house stack.

How to Access

Weights are on Hugging Face. Hosted inference is available via Poolside's API and OpenRouter. Local deployment works via Ollama on Mac hardware.

Source: Poolside AI, VentureBeat