Glyd

MiMo-V2.6-Pro-RL

  • Xiaomi
  • Mixture of experts, 42B active
  • MIT
  • Released in 4-bit
  • Estimated

XiaomiMiMo/MiMo-V2.6-Pro-RL on Hugging Face

MiMo-V2.6-Pro-RL with Glyd

As releasedGlydChange, %
Weights in GPU memory, GB4-bit weights counted as they are566.05559.08est.−1
8×H100 nodes it takesWeights and an 8K-token KV cache11
H100 80 GB GPUs it takes77

Which single GPU it fits

4-bit weights counted as they are.

MemoryGPUsAs releasedGlyd
16 GBRTX 4080, RTX 5080NoNo
24 GBRTX 4090, RTX 3090, A10NoNo
32 GBRTX 5090NoNo
48 GBRTX A6000, L40S, RTX 6000 AdaNoNo
80 GBH100, A100 80 GBNoNo
96 GBRTX PRO 6000, GH200NoNo
141 GBH200NoNo

Related models

Measured so far

Twenty-two open models measured, with quality wherever bf16 fits one GPU.