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GLM-5

MIT

Zhipu AI · 744B (40B active) · Mixture of Experts

MoE with 256 experts, 40B active — frontier-class agentic coding

155.9K downloads 2.1K likes 2026-02 128K context

Use Cases

chat reasoning code

Mixture of Experts

Total experts: 256
Active experts: 8
Active params: 40.0B

Quantization Options

Quant Bits VRAM Quality Status
Q2_K 2 238.7 GB low —
Q3_K_M 3 334 GB moderate —
Q4_K_M 4 381.6 GB good —
Q5_K_M 5 476.9 GB good —
Q6_K 6 572.1 GB excellent —
Q8_0 8 762.7 GB excellent —
F16 16 1524.9 GB lossless —

GPUs that run GLM-5

GLM-5 needs about 381.6 GB of VRAM at Q4_K_M — more than any single GPU we track. Running it takes multiple GPUs, a large unified-memory machine, or CPU offload with plenty of system RAM.

About this model

MoE with 256 experts, 40B active — frontier-class agentic coding