MiMo V2.6 Flash RL
MiMo V2.6 Flash RL is a text-generation model from XiaomiMiMo, released under the MIT license and associated with safetensors and text-generation tags. Its official model card describes it as the efficiency-balanced checkpoint of the MiMo-V2.6 series, built to scale reinforcement learning toward self-improvement across text, image, video, and audio, with a stated 1M-token long-context capability.
At a glance
- Parameters
- 310.76B
- Architecture
- mimo_v2
- Context length
- 1,048,576
- License
- mit
- Software
- SGLang, vLLM
Will it run on your machine?
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Add my hardwareBest for
- Text generation
- Multimodal and vision-language tasks
- Video understanding
- Audio-related tasks
- Agent and long-context scenarios
Tradeoffs
- The source provides no information about hardware requirements or compatibility.
- The source provides no performance benchmarks or comparative evaluations.
- The source provides no deployment instructions or supported inference frameworks.
- The source does not specify the model architecture, parameter count, or training data.
- The source does not describe safety, bias, or content-filtering behavior.
Ways to run it
SGLang · Linux
Repository-specific command in publisher documentation; confirm dependencies and hardware in the source.
sglang serve --trust-remote-code --model-path XiaomiMiMo/MiMo-V2.6-Flash-RL --tp 8 --dp 2 --enable-dp-attention --enable-dp-lm-head --mm-enable-dp-encoder --mem-fraction-static 0.65 --chunked-prefill-size 16384 --speculative-algorithm EAGLE --speculative-num-steps 3 \vLLM · Linux
Repository-specific command in publisher documentation; confirm dependencies and hardware in the source.
vllm serve XiaomiMiMo/MiMo-V2.6-Flash-RL --tensor-parallel-size 4 --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 vllmExplore its uses
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