Question 1

Can NVIDIA A100 40GB run Baichuan M2 32B Q4 K M?

Accepted Answer

Yes, NVIDIA A100 40GB can run Baichuan M2 32B Q4 K M with a B grade (Runs well). Expected decode speed: 57.4 tok/s.

Question 2

How much VRAM does Baichuan M2 32B Q4 K M need?

Accepted Answer

Baichuan M2 32B Q4 K M (32B parameters) requires approximately 29.7 GB of memory with Q4_K_M quantization.

Question 3

What is the best quantization for Baichuan M2 32B Q4 K M?

Accepted Answer

The recommended quantization for Baichuan M2 32B Q4 K M is Q4_K_M, which balances quality and memory efficiency.

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Tight fit	57.4 tok/s	4910 ms	37K
Chat	C	Runs well	57.4 tok/s	1841 ms	12K
Coding	B	Runs well	57.4 tok/s	3375 ms	22K
RAG	C	Tight fit	57.4 tok/s	6137 ms	37K
Reasoning	B	Runs well	57.4 tok/s	3989 ms	22K

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	12.5 GB	Low	D36
Q3_K_S	3	15.7 GB	Low	D37
NVFP4	4

Can NVIDIA A100 40GB run Baichuan M2 32B Q4 K M?

Memory breakdown