What GPU do I need to run XiaomiMiMo/MiMo-V2-Flash?
309.8B parameters, published in F8_E4M3. View on Hugging Face
MiMo-V2-Flash is published by XiaomiMiMo on Hugging Face, with 91,147 downloads and 749 likes to date. It's a MiMoV2FlashForCausalLM model built for text-generation, published natively in F8_E4M3.
VRAM required & cheapest live GPU fit
Required VRAM = weight size at each precision, plus a fixed overhead for KV-cache, activations, and fragmentation. Full formula and assumptions: methodology.
A GPU is only matched to a row if its hardware supports that precision, and the primary recommendation is always a single-GPU fit when one exists.
INT4 caveat: requires a quantized checkpoint actually published for this model — check its Hugging Face page before relying on this row.
Cheapest way to run MiMo-V2-Flash at its published (F8_E4M3) precision: 4× RTX PRO 6000 WS on vastai, at $1.16/hr per GPU ($4.64/hr total). Quantizing to FP8 or INT4 (rows above) can cost less, but requires a compatible quantized checkpoint to exist for this model.
Weight-to-VRAM math, the fit rules, and how live prices are normalized: full methodology.
More XiaomiMiMo models
- MiMo-V2.5 (310.8B, F8_E4M3)
- MiMo-7B-RL (7.8B, BF16)
- MiMo-7B-Base (7.8B, BF16)
- Qwen3-0.6B (752M, BF16)
- Qwen3-8B (8.2B, BF16)
- gpt2 (137M, F32)
