LocalClaw/LLM/Qwen 3 MoE (235B/22B active)
Open-weight local LLM

Qwen 3 MoE (235B/22B active)

Catalogue summary: Large Qwen MoE with 235B total and 22B active parameters. The four official LM Studio Community Q4_K_M shards total about 142.6 GB, so this belongs on 192GB-class machines or larger.

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

192 GB catalogue minimum192 GB RAMQ4_K_MCoding assistant
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This is an advanced workstation/server GGUF path. Unsupported apps are clearly marked.

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Open on Hugging FaceFiles, licence and available downloadsOpen llama.cpp setupAdvanced option: opens GGUF files and patch notesUse with LocalClawOptional workspace after the model is installed

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Parameters
235B (22B active)
Minimum RAM
192 GB
Model size
142.6 GB
Quantization
Q4_K_M

Can Qwen 3 MoE (235B/22B active) run locally?

Qwen 3 MoE (235B/22B active) has a catalogue minimum of 192 GB RAM with Q4_K_M. Actual memory use and speed vary by context length, runtime, backend and system headroom.

Treat qwen3-235b-a22b as an advanced workstation/server-grade catalogue target with verified GGUF artefacts. Open the GGUF files and follow the upstream runtime notes; LocalClaw does not claim a one-click LM Studio install.

Model sourcePublic GGUF repository (verified 2026-09-23): lmstudio-community/Qwen3-235B-A22B-GGUFUpstream releaseLicence text
chatcodereasoningqualityserver-grademoe

Deployment path

01
Check RAM fitServer-grade target. Plan for 192 GB class multi-GPU memory.
02
Load the modelOpen the verified GGUF files for qwen3-235b-a22b and follow the upstream runtime or patch notes first.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Catalogue record

  • Family: qwen-moe
  • Parameters: 235B (22B active)
  • Recommended quantization: Q4_K_M
  • Catalogue minimum RAM: 192 GB
  • Catalogue model size: 142.6 GB
  • Tags: chat, code, reasoning, quality, server-grade, moe

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
  • quality
  • server-grade
  • moe

Capability profile

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

speed
3
quality
10
coding
10
reasoning
10

Technical notes

Developer
Alibaba Cloud (Qwen Team)
License
Apache 2.0
Context window
131,072 tokens
Architecture
Mixture of Experts — 235B total, 22B active per token

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.

Very large memoryMac Studio Ultra classCheck model size firstNVIDIA GB10 / server optionsMore practical alternativesCompare smaller models

Related catalogue entries

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

Qwen 3 Next (80B/3B MoE) 80B (3B active)Qwen 3 MoE (30B/3B active) 30B (3B active)MiniMax M2 (230B MoE) 230B (10B active)Step 3.5 Flash 196.81B (11B active, MoE)MiniMax M2.1 230B (10B active, MoE)Trinity Large Preview (398B MoE) 398B total (13B active, MoE)DeepSeek V4 Flash 0731 (284B MoE) 284B (13B active)DeepSeek V4 Flash Vision Exp 284B (13B active, multimodal MoE)

Where to go next