LocalClaw/LLM/Laguna XS 2.1
Open-weight MoE

Laguna XS 2.1

Catalogue summary: Poolside agentic coding MoE with 262K context, 33B total / 3B active parameters, OpenMDW-1.1 licensing and official Q4_K_M GGUF plus Ollama availability for 36GB-class local machines.

Repository editorial metadata; verify comparative claims in the linked upstream material.

36 GB catalogue minimum36 GB RAMQ4_K_MCoding assistant
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Parameters
33B (3B active, MoE)
Minimum RAM
36 GB
Model size
20.3 GB
Quantization
Q4_K_M

Can Laguna XS 2.1 run locally?

Laguna XS 2.1 has a catalogue minimum of 36 GB RAM with Q4_K_M. Actual memory use and speed vary by context length, runtime, backend and system headroom.

Use laguna-xs-2.1 as the catalogue search term in a compatible runtime, and confirm the available format on the upstream repository before download.

Model sourcePublic GGUF repository (verified 2026-09-07): poolside/Laguna-XS-2.1-GGUFUpstream releasePaper or model cardLicence text
chatcodereasoningagentpowerlong-context

Install path

01
Check RAM fitMinimum 36 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch laguna-xs-2.1 in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Catalogue record

  • Family: laguna
  • Parameters: 33B (3B active, MoE)
  • Recommended quantization: Q4_K_M
  • Catalogue minimum RAM: 36 GB
  • Catalogue model size: 20.3 GB
  • Tags: chat, code, reasoning, agent, power, long-context

Practical limits

  • Catalogue RAM is a minimum estimate, not a guarantee for every context length or runtime.
  • Speed and memory use vary by quantization, backend, context length and system headroom.
  • Verify architecture, licence and usage restrictions in the linked upstream material before deployment.

Catalogue tags

  • chat
  • code
  • reasoning
  • agent
  • power
  • long-context

Capability profile

Repository catalogue ratings used by LocalClaw's editorial rubric. They are not a standardized third-party benchmark.

speed
6
quality
8
coding
9
reasoning
8

Technical notes

Developer
Poolside
License
OpenMDW-1.1
Context window
262,144 tokens
Architecture
33B total parameter Mixture-of-Experts language model with 3B activated parameters per token, 256 experts plus one shared expert, and mixed sliding-window plus global attention layers.

This model fits these next steps

Hardware fit is based on LocalClaw's RAM tier, model size and quantization metadata. Always leave memory headroom for your OS and runtime.

Workstation fitMac Studio M4 Max 64GBCUDA workstation classNVIDIA GB10 / DGX SparkLarge local models64GB RAM guide

Related catalogue entries

Linked mechanically by family, shared tags and nearby RAM tier; this is not a quality ranking.

Laguna S 2.1 118B (8B active, MoE)LongCat-Flash-Lite 68.5B (3-4.5B active, MoE)Qwen3-Coder-Next 80B (3B active, MoE)Agents-A1 35B (3B active, MoE)Qwen 3.6 35B-A3B 35B (3B active, MoE)Qwen AgentWorld 35B-A3B 35B (3B active, MoE)Qwen3.8-27B 27BKimi Linear 48B-A3B Instruct 48B (3B active, MoE)

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