Zhipu AI Β· 744B (40B active) Β· Mixture of Experts
MoE with 256 experts, 40B active β frontier-class agentic coding Check if your GPU or Mac can run GLM-5 locally β 415.7 GB min, 692.9 GB recommended.
2026-02128K context
Mixture of Experts
Total experts: 256
Active experts: 8
Active params: 40.0B
| Quant | Bits | VRAM | Quality | Status |
|---|---|---|---|---|
| Q2_K | 2 | 238.7 GB | low | β |
| Q3_K_M | 3 | 334 GB | moderate | β |
| Q4_K_M | 4 | 381.6 GB | good | β |
| Q5_K_M | 5 | 476.9 GB | good | β |
| Q6_K | 6 | 572.1 GB | excellent | β |
| Q8_0 | 8 | 762.7 GB | excellent | β |
| F16 | 16 | 1524.9 GB | lossless | β |
Can I run GLM-5 locally?
- Can I run GLM-5 locally?
- GLM-5 needs about 415.7 GB of memory at a minimum and 692.9 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 need?
- At Q4_K_M, GLM-5 uses about 381.6 GB of VRAM. Higher quants need more memory; lower quants fit tighter cards with a quality tradeoff.