Model comparison

nomic-embed-text-v1 vs mxbai-embed-xsmall-v1

These two publish different quantization sets; the table below has the exact sizes. At long context the gap widens: mxbai-embed-xsmall-v1's KV cache at 32K is 4.0× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

nomic-embed-text-v1mxbai-embed-xsmall-v1
Parameters137M24M
Architecturenomic-bertbert
Layers126
Native context8,1924,096
Mixture of expertsnono
Quantizations published144
Smallest quantization0.05 GiB0.03 GiB
Q4_K_M0.08 GiB
Licenceapache-2.0apache-2.0

KV cache by context

the term that decides long-context viability
Contextnomic-embed-text-v1mxbai-embed-xsmall-v1Ratio
4,0960.14 GiB0.04 GiB4.00×
8,1920.28 GiB0.07 GiB4.00×
16,3840.56 GiB0.14 GiB4.00×
32,7681.13 GiB0.28 GiB4.00×
65,5362.25 GiB0.56 GiB4.00×
131,0724.50 GiB1.13 GiB4.00×