Local LLM model page
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.
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 best suited for server-grade or multi-GPU systems. LocalClaw recommends FP8 as the default quantization, with at least 1024 GB RAM.
Search term for LM Studio or compatible runtimes: mimo-v2.5-pro
Hugging Face repository: XiaomiMiMo/MiMo-V2.5-Pro
chatcodereasoningqualityagenticlong-contextgeneral
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 heavily on quantization, RAM bandwidth and runtime support.
Best use cases
- chat
- code
- reasoning
- quality
- agentic
- long-context
- general
Benchmarks
Speed: 2/10
Quality: 10/10
Coding: 9/10
Reasoning: 10/10
Technical details
Developer: mimo
License: See model repository
Context window: Unknown tokens
Architecture: See model card
Released: 2026-05