Question 1

Can NVIDIA A100 40GB run Mistral Small 3.2 24B Instruct 2506?

Accepted Answer

Yes, NVIDIA A100 40GB can run Mistral Small 3.2 24B Instruct 2506 with a C grade (Runs well). Expected decode speed: 76.5 tok/s.

Question 2

How much VRAM does Mistral Small 3.2 24B Instruct 2506 need?

Accepted Answer

Mistral Small 3.2 24B Instruct 2506 (24B parameters) requires approximately 23.6 GB of memory with Q4_K_M quantization.

Question 3

What is the best quantization for Mistral Small 3.2 24B Instruct 2506?

Accepted Answer

The recommended quantization for Mistral Small 3.2 24B Instruct 2506 is Q4_K_M, which balances quality and memory efficiency.

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	B	Runs well	89.2 tok/s	3156 ms	47K
Chat	C	Runs well	89.2 tok/s	1184 ms	15K
Coding	C	Runs well	76.5 tok/s	2532 ms	27K
RAG	B	Runs well	89.2 tok/s	3945 ms	47K
Reasoning	C	Runs well	89.2 tok/s	2564 ms	27K

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	9.4 GB	Low	D34
Q3_K_S	3	11.8 GB	Low	D36
NVFP4	4

Can NVIDIA A100 40GB run Mistral Small 3.2 24B Instruct 2506?

Memory breakdown