MiMo-VL-7B-SFT
MiMo-VL-7B-SFT is an open-weights language model from Xiaomi, released June 4, 2025. It has 7B parameters (dense).
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 →
Can you run MiMo-VL-7B-SFT locally?
The smallest common GPU it runs on is 6 GB of VRAM (with 32 GB of RAM): Q6_K, split GPU / CPU, roughly 8 tokens per second. 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 memory | Verdict | Best quant | VRAM | RAM | tok/s |
|---|---|---|---|---|---|
| 6 GB VRAM | Runs, slowly | Q6_K (≈ lossless) | 5.2 GB | 3.3 GB | ~8 |
| 8 GB VRAM | Runs on GPU | Q4_K_M (very good) | 7.0 GB | – | ~37 |
| 12 GB VRAM | Runs on GPU | Q6_K (≈ lossless) | 8.5 GB | – | ~36 |
| 16 GB VRAM | Runs on GPU | Q6_K (≈ lossless) | 8.5 GB | – | ~50 |
| 24 GB VRAM | Runs on GPU | Q6_K (≈ lossless) | 8.5 GB | – | ~89 |
| 32 GB VRAM | Runs on GPU | Q6_K (≈ lossless) | 8.5 GB | – | ~160 |
Benchmark results
Epoch AI has not published results for MiMo-VL-7B-SFT yet. New models are usually evaluated within days to weeks.
Links
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