Question 1

Can RTX 4060 8GB run TinyLlama 1.1B Chat v1.0?

Accepted Answer

Yes, RTX 4060 8GB can run TinyLlama 1.1B Chat v1.0 with a C grade (Runs well). Expected decode speed: 195.8 tok/s.

Question 2

How much VRAM does TinyLlama 1.1B Chat v1.0 need?

Accepted Answer

TinyLlama 1.1B Chat v1.0 (1.100000023841858B parameters) requires approximately 3.5 GB of memory with Q4_K_M quantization.

Question 3

What is the best quantization for TinyLlama 1.1B Chat v1.0?

Accepted Answer

The recommended quantization for TinyLlama 1.1B Chat v1.0 is Q4_K_M, which balances quality and memory efficiency.

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Runs well	195.8 tok/s	1438 ms	74K
Chat	C	Runs well	195.8 tok/s	539 ms	18K
Coding	C	Runs well	195.8 tok/s	989 ms	37K
RAG	C	Runs well	195.8 tok/s	1797 ms	74K
Reasoning	C	Runs well	195.8 tok/s	1168 ms	37K

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	0.4 GB	Low	D30
Q3_K_S	3	0.5 GB	Low	D31
NVFP4	4

Can RTX 4060 8GB run TinyLlama 1.1B Chat v1.0?

Memory breakdown