How much VRAM does GLM-5 need?

GLM-5 (744B parameters) requires approximately 464.1 GB of memory with Q4_K_M quantization.

What is the best quantization for GLM-5?

The recommended quantization for GLM-5 is Q4_K_M, which balances quality and memory efficiency.

Can it run?

No, GLM-5 requires more memory than Tesla P100 16GB provides.

FWon't run

Too heavy

Using Q4_K_M in vLLM

Capabilities:

Fit status

Too heavy

Decode

2.8 tok/s

TTFT

69784 ms

Safe context

Memory

464.1 GB / 16.0 GB

Weights453.8 GB

KV Cache6.3 GB

Runtime2.4 GB

Headroom1.6 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	F	Too heavy	2.8 tok/s	101503 ms	4K
Chat	F	Too heavy	2.8 tok/s	38064 ms	4K
Coding	F	Too heavy	2.8 tok/s	69784 ms	4K
RAG	F	Too heavy	2.8 tok/s	126879 ms	4K
Reasoning	F	Too heavy	2.8 tok/s	82471 ms	4K

How GLM-5 (744B params) fits at each quantization level on Tesla P100 16GB (16.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	290.2 GB	Low	F0
Q3_K_S	3	364.6 GB	Low	F0
NVFP4	4