Question 1

Can RTX 2070 8GB run embeddinggemma 300M?

Accepted Answer

Yes, RTX 2070 8GB can run embeddinggemma 300M with a C grade (Runs well). Expected decode speed: 338.7 tok/s.

Question 2

How much VRAM does embeddinggemma 300M need?

Accepted Answer

embeddinggemma 300M (0.30000001192092896B parameters) requires approximately 3.0 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	282.2 tok/s	998 ms	84K
Chat	C	Runs well	282.2 tok/s	374 ms	21K
Coding	C	Runs well	338.7 tok/s	572 ms	42K
RAG	C	Runs well	282.2 tok/s	1247 ms	84K
Reasoning	C	Runs well	282.2 tok/s	811 ms	42K

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 RTX 2070 8GB run embeddinggemma 300M?

Memory breakdown