Is nomic-embed-text-v1 or gte-small smaller?

gte-small is smaller at Q4_K_M: 0.03 GiB against 0.08 GiB.

Which uses less memory at long context?

gte-small — its KV cache at 32K context is 2.0x smaller, because of how its attention layers cache.

Model comparison

nomic-embed-text-v1 vs gte-small

At Q4_K_M, gte-small is the smaller download — 29,203,744 bytes against 84,106,624. At long context the gap widens: gte-small's KV cache at 32K is 2.0× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	nomic-embed-text-v1	gte-small
Parameters	137M	33M
Architecture	nomic-bert	bert
Layers	12	12
Native context	8,192	512
Mixture of experts	no	no
Quantizations published	14	12
Smallest quantization	0.05 GiB	0.02 GiB
Q4_K_M	0.08 GiB	0.03 GiB
Licence	apache-2.0	mit

KV cache by context

the term that decides long-context viability

Context	nomic-embed-text-v1	gte-small	Ratio
4,096	0.14 GiB	0.07 GiB	2.00×
8,192	0.28 GiB	0.14 GiB	2.00×
16,384	0.56 GiB	0.28 GiB	2.00×
32,768	1.13 GiB	0.56 GiB	2.00×
65,536	2.25 GiB	1.13 GiB	2.00×
131,072	4.50 GiB	2.25 GiB	2.00×