Question 1

Can RTX 2070 Super 8GB run HelpingAI2.5 5B i1?

Accepted Answer

Yes, RTX 2070 Super 8GB can run HelpingAI2.5 5B i1 with a B grade (Runs well). Expected decode speed: 105.8 tok/s.

Question 2

How much VRAM does HelpingAI2.5 5B i1 need?

Accepted Answer

HelpingAI2.5 5B i1 (5B parameters) requires approximately 5.9 GB of memory with Q4_K_M quantization.

Question 3

What is the best quantization for HelpingAI2.5 5B i1?

Accepted Answer

The recommended quantization for HelpingAI2.5 5B i1 is Q4_K_M, which balances quality and memory efficiency.

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Tight fit	89.6 tok/s	3143 ms	39K
Chat	B	Runs well	89.6 tok/s	1179 ms	11K
Coding	B	Runs well	105.8 tok/s	1831 ms	22K
RAG	C	Tight fit	89.6 tok/s	3929 ms	39K
Reasoning	B	Runs well	89.6 tok/s	2554 ms	22K

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	2.0 GB	Low	D34
Q3_K_S	3	2.5 GB	Low	D35
NVFP4	4

Can RTX 2070 Super 8GB run HelpingAI2.5 5B i1?

Memory breakdown