Model comparison
nomic-embed-text-v2-moe vs embeddinggemma-300m-qat-q8_0-unquantized
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 | embeddinggemma-300m-qat-q8_0-unquantized | |
|---|---|---|
| Parameters | 475M | 303M |
| Architecture | nomic-bert-moe | gemma-embedding |
| Layers | 12 | 24 |
| Native context | — | 2,048 |
| Mixture of experts | yes, 8 experts | no |
| Quantizations published | 20 | 1 |
| Smallest quantization | 0.25 GiB | 0.31 GiB |
| Q4_K_M | 0.32 GiB | — |
| Licence | apache-2.0 | gemma |
KV cache by context
the term that decides long-context viability
| Context | nomic-embed-text-v2-moe | embeddinggemma-300m-qat-q8_0-unquantized | Ratio |
|---|---|---|---|
| 4,096 | — | 0.04 GiB | — |
| 8,192 | — | 0.05 GiB | — |
| 16,384 | — | 0.08 GiB | — |
| 32,768 | — | 0.14 GiB | — |
| 65,536 | — | 0.27 GiB | — |
| 131,072 | — | 0.52 GiB | — |