// RUN โ€” FITS

Can the NVIDIA H100 SXM5 80GB run ChatGLM3-6B?

Yes โ€” here's how fast and up to what context, with real measured numbers.

ChatGLM3-6B on the NVIDIA H100 SXM5 80GB

QuantFits?Max contextSpeedBeyond context
FP16 yes 459k 203.8-242.9 t/s ~2.4-2.9 (slow)
Q8 yes 504k 407.6-485.8 t/s ~4.9-5.8 (slow)
Q4 yes 524k 727.8-867.4 t/s ~8.7-10.4 (slow)

Estimate (memory-bound). Beyond "max context" the KV cache spills to system RAM offload (depends on your system RAM) and speed drops to the "beyond" figure.

FAQ

Can the NVIDIA H100 SXM5 80GB run ChatGLM3-6B?โ–ถ

Yes. At Q4 it generates ~727.8-867.4 tok/s and fits up to 524k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~8.7-10.4 tok/s.

How much context fits?โ–ถ

At Q4, up to about 524k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.