How much VRAM does llava llama 3 8b v1 1 need?

llava llama 3 8b v1 1 (8B parameters) requires approximately 7.9 GB of memory with Q4_K_M quantization.

What is the best quantization for llava llama 3 8b v1 1?

The recommended quantization for llava llama 3 8b v1 1 is Q4_K_M, which balances quality and memory efficiency.

Can it run?

No, llava llama 3 8b v1 1 requires more memory than RTX 2060 6GB provides.

FWon't run

Too heavy

Using Q4_K_M in Ollama

Capabilities:

Fit status

Too heavy

Decode

49.6 tok/s

TTFT

3905 ms

Safe context

12K

Memory

7.9 GB / 6.0 GB

Weights4.9 GB

KV Cache1.3 GB

Runtime1.2 GB

Headroom0.6 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	F	Too heavy	39.2 tok/s	7175 ms	21K
Chat	F	Too heavy	39.2 tok/s	2691 ms	6K
Coding	F	Too heavy	49.6 tok/s	3905 ms	12K
RAG	F	Too heavy	39.2 tok/s	8969 ms	21K
Reasoning	F	Too heavy	39.2 tok/s	5830 ms	12K

How llava llama 3 8b v1 1 (8B params) fits at each quantization level on RTX 2060 6GB (6.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_KBest for your GPU	2	3.1 GB	Low	C41
Q3_K_S	3	3.9 GB	Low	C43

Upgrade options

Intel Arc B580 12GBBudget pick

C44.9 tok/s decode

~$249 MSRP

RX 7600 8GBBest value

C33.8 tok/s decode

~$269 MSRP

RTX 3080 12GBBiggest leap

B142 tok/s decode

~$799 MSRP

RTX 3080 Ti 12GBNVIDIA upgrade