Xiaomi MiMo - Mixture of experts - verified
Run MiMo-V2.6-Pro-RL locally
MiMo-V2.6-Pro-RL is a 1.02T mixture-of-experts (42B active) model from Xiaomi MiMo with a 1.05M-token context window, released under MIT (commercial use is allowed); the smallest listed download is 554.2 GB, the MXFP4 GGUF build from ggml-org/MiMo-V2.6-Pro-RL-GGUF.
Official weights: XiaomiMiMo/MiMo-V2.6-Pro-RL - modalities: text, image, video, audio
- Total params
- 1.02T
- Active params
- 42B
- Context
- 1.05M
- Smallest download
- 554.2 GB
Fits in
Smallest download at most 85% of memoryNone of the tiers here. The smallest listed download is 554.2 GB, more than 85% of 256 GB.
Downloads
The official weights and every quantization listed for this model, with file sizes from Hugging Face.
| Download | Format | Size | Repo |
|---|---|---|---|
Official weights | MXFP4 | 566.0 GB | XiaomiMiMo/MiMo-V2.6-Pro-RL |
MXFP4Smallest listed | GGUF | 554.2 GB | ggml-org/MiMo-V2.6-Pro-RL-GGUF |
GB is decimal: 1 GB = 10^9 bytes. Add memory for the context and the operating system on top of the file size.
Run it
Copied verbatim from the page linked under each command. Server commands from model cards often assume a multi-GPU node; check the flags before you run them.
vLLM
vllm serve XiaomiMiMo/MiMo-V2.6-Pro-RL \
--tensor-parallel-size 8 \
--trust-remote-code \
--gpu-memory-utilization 0.95 \
--max-model-len auto \
--reasoning-parser mimo \
--tool-call-parser mimo \
--enable-auto-tool-choice \
--generation-config vllmNot sure which runtime to use? Compare local LLM runtimes by platform, API and features.
License
- License
- MIT
mit - Commercial use
- Commercial use: YesCommercial use is allowed.
- Gated download
- No. The files download directly.
Worth knowing
The official weights store experts in MXFP4 under an FP8 quantization config, and weightsBytes counts only the root safetensors, excluding the audio tokenizer and draft-model subfolders.
Released (per the announcement).
FAQ
How big is the MiMo-V2.6-Pro-RL download?
The official MXFP4 weights in XiaomiMiMo/MiMo-V2.6-Pro-RL are 566.0 GB. The smallest listed download is 554.2 GB, the MXFP4 GGUF build from ggml-org/MiMo-V2.6-Pro-RL-GGUF. Plan for more memory than the file size: the context (KV cache) and the operating system need room too.
Can I use MiMo-V2.6-Pro-RL commercially?
MiMo-V2.6-Pro-RL is released under MIT, and commercial use is allowed. The license text is at https://opensource.org/licenses/MIT.
How much memory do I need for MiMo-V2.6-Pro-RL?
Its smallest listed download is 554.2 GB, more than 85% of 256 GB, so it needs a multi-GPU server or a machine with more memory than the largest tier here.
What is the context length of MiMo-V2.6-Pro-RL?
1,048,576 tokens. A longer context needs more memory for the KV cache, so you can run with a shorter one when memory is tight.
Sources
Last verified from the pages below.
- Hugging Face model card - huggingface.co
- HF API - huggingface.co
- config.json - huggingface.co
- MiMo-V2.6 announcement - mimo.xiaomi.com
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