Model comparison
KaLM-embedding-multilingual-mini-instruct-v2.5 vs nomic-embed-text-v2-moe
These two publish different quantization sets; the table below has the exact sizes.
From the file· summed bytes, KV per layer
Side by side
| KaLM-embedding-multilingual-mini-instruct-v2.5 | nomic-embed-text-v2-moe | |
|---|---|---|
| Parameters | 494M | 475M |
| Architecture | qwen2 | nomic-bert-moe |
| Layers | 24 | 12 |
| Native context | 131,072 | — |
| Mixture of experts | no | yes, 8 experts |
| Quantizations published | 1 | 20 |
| Smallest quantization | 0.49 GiB | 0.25 GiB |
| Q4_K_M | — | 0.32 GiB |
| Licence | apache-2.0 | apache-2.0 |
KV cache by context
the term that decides long-context viability
| Context | KaLM-embedding-multilingual-mini-instruct-v2.5 | nomic-embed-text-v2-moe | Ratio |
|---|---|---|---|
| 4,096 | 0.05 GiB | — | — |
| 8,192 | 0.09 GiB | — | — |
| 16,384 | 0.19 GiB | — | — |
| 32,768 | 0.38 GiB | — | — |
| 65,536 | 0.75 GiB | — | — |
| 131,072 | 1.50 GiB | — | — |