MiroThinker v1.5 (30B MoE)
Public model card. Check the source status below before planning a local setup.
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Verified source status
Catalogue summary: ⚠️ Despite the small active count, this is a full 30B MoE model (Qwen3-30B-A3B base). ~82 GB full weights (Q4_K_M ≈18 GB). Deep-research agent with 256K context, tool calls, multilingual (EN/ZH). Requires H100 80 GB or serious multi-GPU. Not suitable for M1/M2 or consumer GPUs. Apache 2.0.
LocalClaw verified a public model card for MiroThinker v1.5 (30B MoE) on 2026-11-06, but no public GGUF file in that repository. The catalogue RAM and quantization fields are estimates, not a verified install path.
Only the public model card was verified; no public GGUF file was verified in that repository. Open the model card to confirm current artefacts and supported runtimes. LocalClaw does not claim a one-click LM Studio install.
Source availability
Catalogue record
- Family: mirothinker
- Parameters: 30B (3B active, MoE)
- Recommended quantization: Q4_K_M
- Catalogue minimum RAM: 48 GB
- Catalogue model size: 18 GB
- Tags: reasoning, code, power, quality
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.
Reading the scores
LocalClaw /10 is an editorial catalogue rating. Community /5 comes from member reviews. Your machine fit is a separate memory and runtime assessment.
Capability profile
Repository catalogue ratings used by LocalClaw's editorial rubric. They are not a standardized third-party benchmark.
Technical notes
Related catalogue entries
Linked mechanically by family, shared tags and nearby RAM tier; this is not a quality ranking.