Z.ai · 753B (40B active) · Mixture of Experts
Same 753B / 40B-active base as GLM-5.2 — post-training lifts coding and long-horizon agents, 1M context Check if your GPU or Mac can run GLM-5.3 locally — 420.8 GB min, 701.3 GB recommended.
2026-081024K context
Mixture of Experts
Total experts: 256
Active experts: 8
Active params: 40.0B
| Quant | Bits | VRAM | Quality | Status |
|---|---|---|---|---|
| Q2_K | 2 | 241.6 GB | low | — |
| Q3_K_M | 3 | 338 GB | moderate | — |
| Q4_K_M | 4 | 386.2 GB | good | — |
| Q5_K_M | 5 | 482.6 GB | good | — |
| Q6_K | 6 | 579.1 GB | excellent | — |
| Q8_0 | 8 | 771.9 GB | excellent | — |
| F16 | 16 | 1543.3 GB | lossless | — |
Can I run GLM-5.3 locally?
- Can I run GLM-5.3 locally?
- GLM-5.3 needs about 420.8 GB of memory at a minimum and 701.3 GB recommended. Open this page to grade it against your GPU or Mac, then run it with runai, Ollama or LM Studio.
- How much VRAM does GLM-5.3 need?
- At Q4_K_M, GLM-5.3 uses about 386.2 GB of VRAM. Higher quants need more memory; lower quants fit tighter cards with a quality tradeoff.