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All estimates are approximations based on mathematical models and public specifications. Actual performance may vary. Do not make purchasing decisions based solely on these estimates.

Data sourced from Hugging Face, Ollama, and official model documentation. Model names and logos are trademarks of their respective owners.

© 2026 Will It Run AI — Fase Consulting Ibiza, S.L. (NIF: B57969656)

Home/GLM-5/on NVIDIA H200 141GB

Can it run?

Can NVIDIA H200 141GB run GLM-5?

FWon't run

Too heavy

Using Q4_K_M in vLLM

Capabilities:

Fit status

Too heavy

Decode

25.9 tok/s

TTFT

7475 ms

Safe context

5K

Memory

476.6 GB / 141.0 GB

Memory breakdown

Weights453.8 GB
KV Cache6.3 GB
Runtime2.4 GB
Headroom14.1 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingFToo heavy25.9 tok/s10872 ms9K
ChatFToo heavy25.9 tok/s4077 ms4K
CodingFToo heavy25.9 tok/s7475 ms5K
RAGFToo heavy25.9 tok/s13590 ms9K
ReasoningFToo heavy25.9 tok/s8834 ms5K

Quantization options

How GLM-5 (744B params) fits at each quantization level on NVIDIA H200 141GB (141.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
290.2 GB
LowF0
Q3_K_S
3
364.6 GB
LowF0
NVFP4
4
416.6 GB
MediumF0
Q4_K_M
4
453.8 GB
MediumF0
Q5_K_M
5
535.7 GB
HighF0
Q6_K
6
610.1 GB
HighF0
Q8_0
8
796.1 GB
Very HighF0
F16
16
1525.2 GB
MaximumF0
See all results for NVIDIA H200 141GBSee all hardware for GLM-5