Poolside Laguna XS 2.1 — lokalny model AI od Poolside
Autor: Jakub Rusinowski · Ostatnia aktualizacja:
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.
Warianty
Najmniejszy wariant Poolside Laguna XS 2.1 potrzebuje około 21 GB VRAM przy Q4_K_M — skwantyzowane wagi plus narzut frameworka, bez pamięci podręcznej KV.
| Model | VRAM przy Q4 | VRAM | Kontekst | Uruchom |
|---|---|---|---|---|
| Laguna XS 2.1 33B-A3B → 33B (3B active) | ~20.7 GB | 262,144 | ollama run poolside-laguna |
Pamięć to skwantyzowane wagi plus narzut przy Q4_K_M, liczone tym samym silnikiem co sprawdzarka GPU i VRAM.
Jak uruchomić Poolside Laguna XS 2.1 lokalnie
Zainstaluj Ollama, a potem pobierz tag.
ollama run poolside-lagunaWybierz rozmiar powyżej, aby zobaczyć jego VRAM, szacowaną szybkość i polecenie instalacji.
Licencja
Commercial use permitted. No usage restrictions beyond attribution.
Dotyczy: Laguna XS 2.1 33B-A3BPolecane GPU
Najtańsze GPU z naszego katalogu, które uruchomi Poolside Laguna XS 2.1 lokalnie (min. 21 GB VRAM), to AMD Radeon RX 7900 XTX (24 GB).
Czy uruchomię Poolside Laguna XS 2.1 na moim GPU?
- Poolside Laguna XS 2.1 na AMD Radeon RX 7800 XT
- Poolside Laguna XS 2.1 na AMD Radeon RX 7900 XT
- Poolside Laguna XS 2.1 na AMD Radeon RX 7900 XTX
- Poolside Laguna XS 2.1 na AMD Radeon RX 9060 XT 16GB
- Poolside Laguna XS 2.1 na AMD Radeon RX 9060 XT 8GB
- Poolside Laguna XS 2.1 na AMD Radeon RX 9070
- Poolside Laguna XS 2.1 na AMD Radeon RX 9070 XT
- Poolside Laguna XS 2.1 na Apple M1
- Poolside Laguna XS 2.1 na Apple M1 Pro
- Poolside Laguna XS 2.1 na Apple M2
- Poolside Laguna XS 2.1 na Apple M2 Pro
- Poolside Laguna XS 2.1 na Apple M3
- Poolside Laguna XS 2.1 na Apple M3 Pro
- Poolside Laguna XS 2.1 na Apple M4
- Poolside Laguna XS 2.1 na Apple M4 Pro
- Poolside Laguna XS 2.1 na Apple M5
- Poolside Laguna XS 2.1 na Intel Arc B570
- Poolside Laguna XS 2.1 na Intel Arc B580
- Poolside Laguna XS 2.1 na NVIDIA GeForce RTX 3060 (12GB)
- Poolside Laguna XS 2.1 na NVIDIA GeForce RTX 3070
- Poolside Laguna XS 2.1 na NVIDIA GeForce RTX 3070 Ti
- Poolside Laguna XS 2.1 na NVIDIA GeForce RTX 3080 (10GB)
- Poolside Laguna XS 2.1 na NVIDIA GeForce RTX 3090
- Poolside Laguna XS 2.1 na NVIDIA GeForce RTX 4060
- Poolside Laguna XS 2.1 na NVIDIA GeForce RTX 4060 Ti 16GB
- Poolside Laguna XS 2.1 na NVIDIA GeForce RTX 4070
- Poolside Laguna XS 2.1 na NVIDIA GeForce RTX 4070 Super
- Poolside Laguna XS 2.1 na NVIDIA GeForce RTX 4070 Ti
- Poolside Laguna XS 2.1 na NVIDIA GeForce RTX 4070 Ti Super
- Poolside Laguna XS 2.1 na NVIDIA GeForce RTX 4080
- Poolside Laguna XS 2.1 na NVIDIA GeForce RTX 4080 Super
- Poolside Laguna XS 2.1 na NVIDIA GeForce RTX 4090
- Poolside Laguna XS 2.1 na NVIDIA GeForce RTX 5060
- Poolside Laguna XS 2.1 na NVIDIA GeForce RTX 5060 Ti 16GB
- Poolside Laguna XS 2.1 na NVIDIA GeForce RTX 5060 Ti 8GB
- Poolside Laguna XS 2.1 na NVIDIA GeForce RTX 5070
- Poolside Laguna XS 2.1 na NVIDIA GeForce RTX 5070 Ti
- Poolside Laguna XS 2.1 na NVIDIA GeForce RTX 5080
- Poolside Laguna XS 2.1 na NVIDIA GeForce RTX 5090
- Poolside Laguna XS 2.1 na NVIDIA L40S
- Poolside Laguna XS 2.1 na NVIDIA RTX 6000 Ada Generation
Poolside Laguna XS 2.1 — najczęściej zadawane pytania
How much VRAM does Poolside Laguna XS 2.1 need?
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.
Can I run Poolside Laguna XS 2.1 on an RTX 4090 (24 GB)?
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.
What quantization should I use for Poolside Laguna XS 2.1?
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.
How do I run Poolside Laguna XS 2.1 with Ollama?
Poolside Laguna XS 2.1 has no local Ollama tag — the published tag is cloud-hosted, so running it sends your prompts to a hosted GPU rather than your own machine.