Question 1

Can RTX 4070 Super 12GB run HelpingAI2 9B?

Accepted Answer

Yes, RTX 4070 Super 12GB can run HelpingAI2 9B with a B grade (Runs well). Expected decode speed: 66.1 tok/s.

Question 2

How much VRAM does HelpingAI2 9B need?

Accepted Answer

HelpingAI2 9B (9B parameters) requires approximately 9.3 GB of memory with Q4_K_M quantization.

Question 3

What is the best quantization for HelpingAI2 9B?

Accepted Answer

The recommended quantization for HelpingAI2 9B is Q4_K_M, which balances quality and memory efficiency.

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Tight fit	66.1 tok/s	4260 ms	36K
Chat	B	Runs well	66.1 tok/s	1598 ms	11K
Coding	B	Runs well	66.1 tok/s	2929 ms	21K
RAG	C	Tight fit	66.1 tok/s	5325 ms	36K
Reasoning	B	Runs well	66.1 tok/s	3462 ms	21K

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	3.5 GB	Low	D35
Q3_K_S	3	4.4 GB	Low	D37
NVFP4	4

Can RTX 4070 Super 12GB run HelpingAI2 9B?

Memory breakdown