Poolside
Laguna XS 2.1
前沿
22.5K下载量170点赞Jun 2026发布日期262K tokens上下文OpenMDW 1.1许可证75 优秀质量
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.
快速开始
— 复制粘贴即可本地运行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 99Quick 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
- •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.
相关模型
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最佳硬件
Laguna XS 2.1 的最佳选择
运行此模型
量化选项
各量化级别的 VRAM 估算
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
Coding
SWE-bench Verified70.9%
HumanEval+—
Aider Polyglot—
LiveCodeBench—
Source: official · 2026-06-20
硬件兼容性
全部硬件的适配估算
Computing compatibility...
内存详细分析
Reference: RTX 2060 6GB
Weights20.4 GB
KV Cache0.6 GB
Runtime0.9 GB
Headroom0.6 GB
常见问题
FAQ — Laguna XS 2.1
另请参阅