Can I Run GLM-Z1 32B (Reasoning) on NVIDIA GeForce RTX 4060?

作者: Jakub Rusinowski · 最后更新: 2026年9月19日

No. GLM-Z1 32B (Reasoning) needs 19.3 GB at Q4_K_M and the NVIDIA GeForce RTX 4060 has only 8 GB. No quantization we publish closes a gap that size.

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The numbers

ModelGLM-Z1 32B (Reasoning)
Parameters32B
QuantizationQ4_K_M
VRAM needed19.3 GB
NVIDIA GeForce RTX 4060 VRAM8 GB
VerdictDoes not fit

GLM-Z1 32B (Reasoning) on the NVIDIA GeForce RTX 4060: VRAM by quantization

QuantVRAM neededFits 8 GB?Max contextWhole PC
F1665.7 GB✗ No——
Q8_035.7 GB✗ No—Build for this
Q6_K28 GB✗ No——
Q5_K_M24.4 GB✗ No——
Q4_K_M21 GB✗ No—Build for this
Q3_K_M15.4 GB✗ No——
Q2_K12.2 GB✗ No——

Assumes a 4K-token context with an f16 KV cache, on an estimated architecture — this model publishes no config we can read. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 8 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.

Context costs VRAM too. At Q4_K_M on the NVIDIA GeForce RTX 4060: 8K 22 GB ✗ · 32K 27.5 GB ✗ · 125K 49 GB ✗. Past 8K it no longer fits 8 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.

What to do next

Either step down to a smaller size in this family, or move to a NVIDIA GeForce RTX 5090 Laptop GPU (24 GB), the cheapest card we track with enough VRAM.

No compatible GPU? GLM-Z1 32B (Reasoning) on 32 GB of system RAM, CPU only: runs comfortably.

Won't fit — rent GLM-Z1 32B (Reasoning) instead

GLM-Z1 32B (Reasoning) needs ~19 GB but this GPU has 8 GB. Rent a RTX 4090 (24 GB)-class GPU by the hour instead of buying one:

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Other GLM-4.7 / GLM-Z1 sizes on the NVIDIA GeForce RTX 4060

GLM-Z1 32B (Reasoning) on nearby hardware

All GLM-4.7 / GLM-Z1 sizes on the NVIDIA GeForce RTX 4060 | GLM-Z1 32B (Reasoning) model page | NVIDIA GeForce RTX 4060 GPU page | Check your hardware