Question 1

Can RTX 3080 10GB run OpenSafetyLab   MD Judge v0 2 internlm2 7b?

Accepted Answer

Yes, RTX 3080 10GB can run OpenSafetyLab   MD Judge v0 2 internlm2 7b with a B grade (Runs well). Expected decode speed: 128.1 tok/s.

Question 2

How much VRAM does OpenSafetyLab   MD Judge v0 2 internlm2 7b need?

Accepted Answer

OpenSafetyLab   MD Judge v0 2 internlm2 7b (7B parameters) requires approximately 7.6 GB of memory with Q4_K_M quantization.

Question 3

What is the best quantization for OpenSafetyLab   MD Judge v0 2 internlm2 7b?

Accepted Answer

The recommended quantization for OpenSafetyLab   MD Judge v0 2 internlm2 7b is Q4_K_M, which balances quality and memory efficiency.

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Tight fit	135.3 tok/s	2082 ms	37K
Chat	B	Runs well	135.3 tok/s	781 ms	11K
Coding	B	Runs well	128.1 tok/s	1511 ms	21K
RAG	C	Tight fit	135.3 tok/s	2602 ms	37K
Reasoning	B	Runs well	135.3 tok/s	1691 ms	21K

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	2.7 GB	Low	D34
Q3_K_S	3	3.4 GB	Low	D36
NVFP4	4

Can RTX 3080 10GB run OpenSafetyLab MD Judge v0 2 internlm2 7b?

Memory breakdown