Written by Jakub Rusinowski · Last updated August 15, 2026
Poolside's July 2026 open-weight coding model, and one of the few frontier-grade agentic coders small enough to run on a single consumer GPU. Laguna XS 2.1 is a 33B-total / 3B-active Mixture-of-Experts built for long-horizon software work — the 2.1 point release lifted SWE-Bench Verified from 69.9% to 70.9% and SWE-bench Multilingual from 57.7% to 63.1%. Architecturally it mixes sliding-window and global attention 3:1 across 40 layers, with sigmoid per-head gating and an FP8 KV cache, which is how it holds a 256K context without a datacenter behind it.
| Licence | What it permits | Applies to |
|---|---|---|
OpenMDW-1.1 | Commercial use permitted Commercial use permitted. No usage restrictions beyond attribution. | Laguna XS 2.1 33B-A3B |
| Laguna XS 2.1 33B-A3B | Min 21 GB VRAM · Q4_K_M · 262,144 ctx · |
The cheapest GPU that runs Poolside Laguna XS 2.1 locally (min 21 GB VRAM) is the AMD Radeon RX 7900 XTX (24 GB).
Install Ollama then run: ollama run
Minimum VRAM: 21 GB. For best results use Q4_K_M quantization.
Poolside Laguna XS 2.1 needs about 21 GB VRAM at Q4_K_M quantization for its smallest variant. Variants: Laguna XS 2.1 33B-A3B (21 GB, Q4_K_M). On Apple Silicon, unified memory counts toward this requirement.
Yes — Poolside Laguna XS 2.1 runs on an RTX 4090 (24 GB) and other 24 GB cards such as the RTX 3090. Smaller variants also fit comfortably on 8–16 GB GPUs at Q4_K_M.
Q4_K_M is the best balance of quality and VRAM for Poolside Laguna XS 2.1 in most cases. Choose Q8_0 for near-lossless quality if you have spare VRAM, or smaller quants (Q3/Q2) only when memory is tight.
Install Ollama, then run: ollama run . This downloads Poolside Laguna XS 2.1 and starts a local, OpenAI-compatible endpoint — no internet connection is needed after the initial download.