Question 1

Can RTX 4070 Super 12GB run HelpingAI 9B i1?

Accepted Answer

Yes, RTX 4070 Super 12GB can run HelpingAI 9B i1 with a B grade (Runs well). Expected decode speed: 66.1 tok/s.

Question 2

How much VRAM does HelpingAI 9B i1 need?

Accepted Answer

HelpingAI 9B i1 (9B parameters) requires approximately 9.3 GB of memory with Q4_K_M quantization.

Question 3

What is the best quantization for HelpingAI 9B i1?

Accepted Answer

The recommended quantization for HelpingAI 9B i1 is Q4_K_M, which balances quality and memory efficiency.

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Tight fit	70.7 tok/s	3984 ms	36K
Chat	B	Runs well	70.7 tok/s	1494 ms	11K
Coding	B	Runs well	66.1 tok/s	2929 ms	21K
RAG	C	Tight fit	70.7 tok/s	4980 ms	36K
Reasoning	B	Runs well	70.7 tok/s	3237 ms	21K

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	3.5 GB	Low	D35
Q3_K_S	3	4.4 GB	Low	D36
NVFP4	4

Can RTX 4070 Super 12GB run HelpingAI 9B i1?

Memory breakdown