Question 1

Can MacBook Air M2 16GB run embeddinggemma 300M?

Accepted Answer

Yes, MacBook Air M2 16GB can run embeddinggemma 300M with a C grade (Runs well). Expected decode speed: 68.3 tok/s.

Question 2

How much VRAM does embeddinggemma 300M need?

Accepted Answer

embeddinggemma 300M (0.30000001192092896B parameters) requires approximately 4.0 GB of memory with Q6_K quantization.

Question 3

What is the best quantization for embeddinggemma 300M?

Accepted Answer

The recommended quantization for embeddinggemma 300M is Q6_K, which balances quality and memory efficiency.

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Runs well	68.3 tok/s	4126 ms	93K
Chat	C	Runs well	68.3 tok/s	1547 ms	23K
Coding	C	Runs well	68.3 tok/s	2837 ms	46K
RAG	C	Runs well	68.3 tok/s	5158 ms	93K
Reasoning	C	Runs well	68.3 tok/s	3352 ms	46K

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	0.1 GB	Low	D30
Q3_K_S	3	0.1 GB	Low	D30
NVFP4	4

Can MacBook Air M2 16GB run embeddinggemma 300M?

Memory breakdown