Model comparison
nomic-embed-text-v2-moe vs bge-m3
These two publish different quantization sets; the table below has the exact sizes.
From the file· summed bytes, KV per layer
Side by side
| nomic-embed-text-v2-moe | bge-m3 | |
|---|---|---|
| Parameters | 475M | 567M |
| Architecture | nomic-bert-moe | bert |
| Layers | 12 | 24 |
| Native context | — | 8,194 |
| Mixture of experts | yes, 8 experts | no |
| Quantizations published | 20 | 1 |
| Smallest quantization | 0.25 GiB | 0.59 GiB |
| Q4_K_M | 0.32 GiB | — |
| Licence | apache-2.0 | mit |
KV cache by context
the term that decides long-context viability
| Context | nomic-embed-text-v2-moe | bge-m3 | Ratio |
|---|---|---|---|
| 4,096 | — | 0.38 GiB | — |
| 8,192 | — | 0.75 GiB | — |
| 16,384 | — | 1.50 GiB | — |
| 32,768 | — | 3.00 GiB | — |
| 65,536 | — | 6.00 GiB | — |
| 131,072 | — | 12.00 GiB | — |