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MiroThinker 1.7 Mini (30B MoE)

⚠️ Despite the "Mini" name, this is a full 30B MoE model (Qwen3-30B-A3B). 3B = active params per forward pass, NOT model size. ~82 GB full weights. Requires H100 80GB or multi-GPU. 256K context, multilingual (EN/ZH+), deep-research agent with tool calls. Released 11 Mar 2026. Apache 2.0.

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Parameters
30B (3B active, MoE)
Minimum RAM
48 GB
Model size
18 GB
Quantization
Q4_K_M

Can MiroThinker 1.7 Mini (30B MoE) run locally?

MiroThinker 1.7 Mini (30B MoE) is best suited for high-end workstations with 64 GB RAM. LocalClaw recommends Q4_K_M as the default quantization, with at least 48 GB RAM.

Search term for LM Studio or compatible runtimes: mirothinker-1.7-mini

Hugging Face repository: miromind-ai/MiroThinker-1.7-mini

reasoningcodepowerquality

Strengths

  • ⚠️ Despite the "Mini" name, this is a full 30B MoE model (Qwen3-30B-A3B). 3B = active params per forward pass, NOT model size. ~82 GB full weights. Requires H100 80GB or multi-GPU. 256K context, multilingual (EN/ZH+), deep-research agent with tool calls. Released 11 Mar 2026. Apache 2.0.

Limitations

  • Performance depends heavily on quantization, RAM bandwidth and runtime support.

Best use cases

  • reasoning
  • code
  • power
  • quality

Benchmarks

Speed: 3/10

Quality: 9/10

Coding: 8/10

Reasoning: 10/10

Technical details

Developer: mirothinker

License: See model repository

Context window: Unknown tokens

Architecture: See model card

Released: 2026-03