Poolside

Laguna XS 2.1

Name: Laguna XS 2.1
Rating: 82 (90 reviews)
Author: Poolside

Frontier

HuggingFace

22.5KDownloads170CurtidasJun 2026Publicado262K tokensContextoOpenMDW 1.1Licença75 ForteQualidade

Laguna XS 2.1 (33.400001525878906B parameters) requires approximately 22.5 GB of VRAM with Q4_K_M quantization. As a Mixture of Experts model with 3B active parameters, it uses less memory than its total parameter count suggests. For the best balance of quality and speed, we recommend hardware with at least 26 GB of VRAM.

Comece agora

— copie e cole para rodar localmente

Copy-paste commands to run Laguna XS 2.1 on your machine.

Run

docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
  --hf-repo "poolside/Laguna-XS-2.1" \
  --hf-file "Laguna-XS-2.1-Q4_K_M.gguf" \
  -c 4096 -ngl 99

Quick specs

Parameters33.4B (3B active)

Architecturemoe (MoE)

Context262K tokens

Modalitytext

Min RAM13 GB

Rec. RAM20.4 GB (Q4_K_M)

LicenseOpenMDW 1.1

FamilyLaguna

✓ Code✓ Reasoning

About this model

Laguna XS 2.1 is the compact member of Poolside's Laguna 2.1 family: a 33B-total Mixture-of-Experts model activating roughly 3B parameters per token. It shares the family recipe — 256 routed experts plus one shared expert, grouped-query attention and interleaved full/sliding-window layers — in a 40-layer stack sized for single-GPU agentic coding at 262K context.

•33B total / ~3B active — runs comfortably on a single 24GB GPU at Q4.
•Same router and attention recipe as Laguna S 2.1, at a quarter of the size.
•262K context with 1:3 global-to-sliding-window attention (window 512).
•Targeted at agentic coding and long-horizon tool use.

Modelos relacionados

Escolhas rápidas

Melhor custo-benefícioA

Mac mini M4 64GB~$1,099 — 14 tok/s

Melhor no geralS

RTX 5090 32GB~$1,999 — 144 tok/s

Melhor hardware

Melhores opções para Laguna XS 2.1

RTX 5090 32GBS

32 GB

RTX PRO 4500 Blackwell 32GBS

32 GB

AMD Instinct MI100 32GBS

32 GB

NVIDIA V100 32GBS

32 GB

AMD Instinct MI60 32GBS

32 GB

Rodar este modelo

Laguna XS 2.1 on RTX 5090 32GB Laguna XS 2.1 on RTX PRO 4500 Blackwell 32GB Laguna XS 2.1 on AMD Instinct MI100 32GB

Opções de quantização

Estimativas de VRAM por nível de quantização

No hardware detected — fit column shows raw VRAM estimates

Quant	Bits	VRAM	Quality	Fit
Q1_0_G128	1.125	4.8 GB	Very Low	—
Q2_0_G128	1.71	8.9 GB	Low	—
Q2_K	2	13.0 GB	Low	—
Q3_K_S	3	16.4 GB	Low	—
NVFP4	4	18.7 GB	Medium	—
Q4_K_M	4	20.4 GB	Medium	—
Q5_K_M	5	24.0 GB	High	—
Q6_K	6	27.4 GB	High	—
Q8_0	8	35.7 GB	Very High	—
F16	16	68.5 GB	Maximum	—

Quality benchmarks

Laguna XS 2.1 benchmark scores

Benchmark verified

Coding

SWE-bench Verified70.9%

HumanEval+—

Aider Polyglot—

LiveCodeBench—

Source: official · 2026-06-20

Compatibilidade de hardware

Estimativas de compatibilidade para todo o hardware

Abrir calculadora

Computing compatibility...

Detalhamento de memória

Reference: RTX 2060 6GB

Weights20.4 GB

KV Cache0.6 GB

Runtime0.9 GB

Headroom0.6 GB

Perguntas frequentes

FAQ — Laguna XS 2.1

Veja também

Guia de Quantização Metodologia de Pontuação Abrir calculadora