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Xiaomi · open-weights

MiMo‑VL‑7B‑RL

MiMo‑VL‑7B‑RL is an open-weights language model from Xiaomi, released June 4, 2025. Its makers disclosed about 7B parameters.

We open-source MiMo-VL-7B-SFT and MiMo-VL-7B-RL, two powerful vision-language models delivering state-of-the-art performance in both general visual understanding and multimodal reasoning.

Check it against your own PC →

Lab
Xiaomi
Released
June 4, 2025
Weights
Open
Parameters
7B disclosed
Context
–
Price / M tokens
–
Epoch ECI
not yet rated

Can you run MiMo‑VL‑7B‑RL locally?

Even with 32 GB of VRAM and 32 GB of RAM it is too large to run at a usable speed on a single consumer GPU. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.

GPU memoryVerdictBest quantVRAMRAMtok/s
6 GB VRAMSize unknown––––
8 GB VRAMSize unknown––––
12 GB VRAMSize unknown––––
16 GB VRAMSize unknown––––
24 GB VRAMSize unknown––––
32 GB VRAMSize unknown––––

Parameter count unknown. The weights may not be on Hugging Face yet.

Benchmark results

Epoch AI has not published results for MiMo‑VL‑7B‑RL yet. New models are usually evaluated within days to weeks.

Links

Announcement

More from Xiaomi

MiMo V2.6 Flash MOPD · MiMo V2.6 Pro MOPD · MiMo-V2.6-Pro · MiMo-V2.6-Flash · MiMo V2.6 Pro RL · MiMo V2.6 Flash RL · MiMo-V2.5 · MiMo-V2.5-Pro

Data updated Thu, 12 Nov 2026 09:42 UTC. Benchmarks, Capabilities Index and model announcements: Epoch AI, “Capabilities & benchmarking” and “Data on AI models” (CC BY 4.0); category scores are ModelTape's own fit on Epoch's results. Releases and prices: models.dev (MIT). Sizes and quantizations: Hugging Face. “Runs on” figures are estimates from model size, quantization and memory bandwidth (±30–50%).
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