GLM-6 9B — VRAM Requirements
Written by Jakub Rusinowski · Last updated July 21, 2026
How much GPU VRAM you need to run GLM-6 GLM-6 9B by Zhipu AI locally, a 9B-parameter model. Figures are quantized weights + KV cache + framework overhead from a memory-bandwidth roofline model.
GLM-6 9B needs about 6 GB VRAM at Q4_K_M.
VRAM by Quantization
| Quant | Bits/weight | Weights | Total VRAM |
|---|---|---|---|
| Q2_K | 2.63 | 3.0 GB | 3.8 GB |
| Q3_K_M | 3.41 | 3.8 GB | 4.6 GB |
| Q4_K_M | 4.83 | 5.4 GB | 6.2 GB |
| Q5_K_M | 5.67 | 6.4 GB | 7.2 GB |
| Q6_K | 6.56 | 7.4 GB | 8.2 GB |
| Q8_0 | 8.50 | 9.6 GB | 10.4 GB |
| F16 | 16.00 | 18.0 GB | 18.8 GB |
Switch quantization in the interactive calculator, or see the full GLM-6 model page.
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Model creators: paste this into your Hugging Face model card README to link readers straight to this VRAM breakdown.
[](https://llmconfigurator.com/en/vram-calculator/glm-6-9b)Estimates only — actual VRAM varies with context length, batch size, runtime and KV-cache settings.