Glyd

GLM-5.3

  • Z.ai
  • 753.3B parameters
  • Released in FP8
  • Estimated

zai-org/GLM-5.3 on Hugging Face

GLM-5.3 with Glyd

As releasedGlydChange, %
Weights in GPU memory, GBFP8 weights counted as they are755.63754.26est.0
8×H100 nodes it takesWeights and an 8K-token KV cache22
H100 80 GB GPUs it takes109

Which single GPU it fits

FP8 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.