Question 1

Can RTX 2000 Ada Laptop 8GB run Meta Llama 3.1 8B Instruct?

Accepted Answer

Yes, RTX 2000 Ada Laptop 8GB can run Meta Llama 3.1 8B Instruct with a C grade (Runs with offload). Expected decode speed: 37.3 tok/s.

Question 2

How much VRAM does Meta Llama 3.1 8B Instruct need?

Accepted Answer

Meta Llama 3.1 8B Instruct (8B parameters) requires approximately 8.1 GB of memory with Q4_K_M quantization.

Question 3

What is the best quantization for Meta Llama 3.1 8B Instruct?

Accepted Answer

The recommended quantization for Meta Llama 3.1 8B Instruct is Q4_K_M, which balances quality and memory efficiency.

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Very compromised (needs ~0.7 GB host RAM)	33.5 tok/s	8404 ms	27K
Chat	C	Runs with offload	38.3 tok/s	2758 ms	8K
Coding	C	Runs with offload	37.3 tok/s	5196 ms	16K
RAG	C	Very compromised (needs ~0.7 GB host RAM)	33.5 tok/s	10506 ms	27K
Reasoning	C	Runs with offload (needs ~0.1 GB host RAM)	37.8 tok/s	6057 ms

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	3.1 GB	Low	D38
Q3_K_S	3	3.9 GB	Low	D40
NVFP4	4

Can RTX 2000 Ada Laptop 8GB run Meta Llama 3.1 8B Instruct?

Memory breakdown