LocalClaw/LLM/MiMo-V2.5-Pro (1.02T MoE)
Open-weight local LLM

MiMo-V2.5-Pro (1.02T MoE)

Xiaomi MiMo flagship MoE for demanding agentic, software engineering and long-horizon tasks. 1M-token context, FP8, strong instruction following. MIT licensed.

Server-grade 1024 GB RAM FP8 Coding assistant
Run with LocalClaw Compare all models
Parameters
1.02T (42B active)
Minimum RAM
1024 GB
Model size
600 GB
Quantization
FP8

Can MiMo-V2.5-Pro (1.02T MoE) run locally?

MiMo-V2.5-Pro (1.02T MoE) is server-grade locally. Keep it for comparison unless you have very large unified memory, multiple GPUs or remote inference.

Search for mimo-v2.5-pro in LM Studio or another GGUF-compatible runtime.

XiaomiMiMo/MiMo-V2.5-Pro
chatcodereasoningqualityagenticlong-contextgeneral

Install path

01
Check RAM fitMinimum 1024 GB RAM. Start with the FP8 quant.
02
Load the modelSearch mimo-v2.5-pro in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • Xiaomi MiMo flagship MoE for demanding agentic, software engineering and long-horizon tasks. 1M-token context, FP8, strong instruction following. MIT licensed.

Limitations

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

Best use cases

  • chat
  • code
  • reasoning
  • quality
  • agentic
  • long-context

Capability profile

speed
2
quality
10
coding
9
reasoning
10

Technical notes

Developer
mimo
License
See model repository
Context window
Unknown tokens
Architecture
See model card

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

Where to go next