Poolside Laguna XS.2
Poolside Laguna XS.2 loads in 23 GB at Q4_K_M and decodes at the speed of its 3B active path, comfortably from 48 GB of memory — Macs included, starting at the MacBook Pro M5 Pro 48GB. Below is the memory math we ran for it, the cheapest card that fits, and the fastest machine we track.
How much memory does Poolside Laguna XS.2 need?
Poolside Laguna XS.2 is a 33B mixture-of-experts model (3B active per token) built for agentic coding, long-horizon software engineering. The weights alone take 23 GB at Q4_K_M; add context and the OS, and it belongs in the 48 GB memory class. Every number below comes from the ModelFit engine — speeds are estimates, labeled est., because we do not benchmark hardware ourselves.
KV = fp16 estimate (q8_0 cache roughly halves it). "Comfortable" = weights + KV within the engine's tiered budget (~70-85% of memory).
Which machines run Poolside Laguna XS.2?
Verdicts come from the same engine that powers our fit checker — memory capacity first, bandwidth for speed. How we compute these numbers · Hugging Face model card
More Laguna models
Frequently asked questions
How much memory does Poolside Laguna XS.2 need?
23 GB for the Q4_K_M weights, plus ~4.0 GB of KV-cache at 16k context — about 27.0 GB total. Comfortable from 48 GB of VRAM or unified memory.
Does Poolside Laguna XS.2 run on a Mac?
Yes — from the MacBook Pro M5 Pro 48GB (~40 tok/s est.). Unified memory means the RAM budget is the only limit.
What is the cheapest GPU for Poolside Laguna XS.2?
The AMD Ryzen AI Max+ 395 (Strix Halo) is the cheapest tracked card that runs Poolside Laguna XS.2 comfortably — ~25 tok/s est. at ~$3,847 used (as of 2026-07-31).
Cite this page
ModelFit: Poolside Laguna XS.2 — specs, memory math and hardware verdicts. https://modelfit.io/models/laguna-xs2/ (dataset updated 2026-09-03, CC BY 4.0).