Question 1

Can RTX 4070 Ti Super 16GB run Llama 2 7B Chat?

Accepted Answer

Yes, RTX 4070 Ti Super 16GB can run Llama 2 7B Chat with a C grade (Runs well). Expected decode speed: 113.3 tok/s.

Question 2

How much VRAM does Llama 2 7B Chat need?

Accepted Answer

Llama 2 7B Chat (7B parameters) requires approximately 8.2 GB of memory with Q4_K_M quantization.

Question 3

What is the best quantization for Llama 2 7B Chat?

Accepted Answer

The recommended quantization for Llama 2 7B Chat is Q4_K_M, which balances quality and memory efficiency.

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Runs well	113.3 tok/s	2485 ms	55K
Chat	C	Runs well	113.3 tok/s	932 ms	16K
Coding	C	Runs well	113.3 tok/s	1709 ms	31K
RAG	C	Runs well	113.3 tok/s	3106 ms	55K
Reasoning	C	Runs well	113.3 tok/s	2019 ms	31K

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	2.7 GB	Low	D33
Q3_K_S	3	3.4 GB	Low	D34
NVFP4	4

Can RTX 4070 Ti Super 16GB run Llama 2 7B Chat?

Memory breakdown