Question 1

Can NVIDIA H100 80GB run stabilityai   japanese stablelm instruct beta 70b?

Accepted Answer

Yes, NVIDIA H100 80GB can run stabilityai   japanese stablelm instruct beta 70b with a C grade (Runs well). Expected decode speed: 56.5 tok/s.

Question 2

How much VRAM does stabilityai   japanese stablelm instruct beta 70b need?

Accepted Answer

stabilityai   japanese stablelm instruct beta 70b (70B parameters) requires approximately 62.8 GB of memory with Q4_K_M quantization.

Question 3

What is the best quantization for stabilityai   japanese stablelm instruct beta 70b?

Accepted Answer

The recommended quantization for stabilityai   japanese stablelm instruct beta 70b is Q4_K_M, which balances quality and memory efficiency.

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Tight fit	65.9 tok/s	4273 ms	35K
Chat	B	Runs well	65.9 tok/s	1602 ms	11K
Coding	C	Runs well	56.5 tok/s	3427 ms	20K
RAG	C	Tight fit	65.9 tok/s	5341 ms	35K
Reasoning	B	Runs well	65.9 tok/s	3472 ms	20K

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	27.3 GB	Low	D36
Q3_K_S	3	34.3 GB	Low	D38
NVFP4	4

Can NVIDIA H100 80GB run stabilityai japanese stablelm instruct beta 70b?

Memory breakdown