GLM-5.2 Weights Reduced by 423GB
EAccelerate_42 · x · 2026-07-13
The author claims to have reduced the size of GLM-5.2 by 423GB without altering the model:
- Reduced from 1403GB to 980GB
- Model size is 753B weights
- Results remain bit-for-bit exact
- No quantization and no retraining
The key insight is that the weights remain in a compressed state within VRAM, rather than reconstructing the full model first. The author mentions the full write-up and repo will be released in the next post.
More from Infra
- Anthropic generated $2.08 revenue per $1 of compute spend in Q2 2026, up from $0.63 — cedric_chee · 2026-10-26
- CircuitHub unveils The Grid, a factory-scale robot making PCBs in the US twice as fast as Shenzhen — garrytan · 2026-10-26
- Ubicloud publishes "Fixing Tool-Call Accuracy in vLLM" — petrusenko_max · 2026-10-26
- Meta approves nonvoting Class C shares as 2026 capex guidance hits $135B–$145B — thione · 2026-10-26
- Unsloth Ships MiniMax-M3.1-Flash Quants: 2-bit Retains 91.5% Accuracy, Runs in 150GB RAM — danielhanchen · 2026-10-26
- Engineer with thousands of fabricated devices pours cold water on photonic crystal modulator yields — jwt0625 · 2026-10-26