Question 1

Can MacBook Air M2 16GB run TinyLlama 1.1B Chat v1.0?

Accepted Answer

Yes, MacBook Air M2 16GB can run TinyLlama 1.1B Chat v1.0 with a C grade (Runs well). Expected decode speed: 65.0 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 4.4 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	65.0 tok/s	4332 ms	84K
Chat	C	Runs well	65.0 tok/s	1625 ms	21K
Coding	C	Runs well	65.0 tok/s	2978 ms	42K
RAG	C	Runs well	65.0 tok/s	5415 ms	84K
Reasoning	C	Runs well	65.0 tok/s	3520 ms	42K

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

Can MacBook Air M2 16GB run TinyLlama 1.1B Chat v1.0?

Memory breakdown