Gte Micro v4 vs Ivysaur
| Benchmark | Gte Micro v4 | Ivysaur |
|---|---|---|
| MTEB multilingual v2 · Mean over tasks · multilingual (1037 languages) | 41.5 | — |
Specs
| Spec | Gte Micro v4 | Ivysaur |
|---|---|---|
| Context | 1K | 1K |
| Weights | Open | Open |
| Released | Apr 2024 | Apr 2024 |
| Dimensions | 384 | 384 |
| Max input | 1K tokens | 1K tokens |
| Memory (4-bit) | 0 GB | 0 GB |
| Licence | MIT | MIT |
| Commercial use | Allowed | Allowed |
What breaks when you switch
Gte Micro v4 → Ivysaur
Re-embed your whole corpus›
Vectors from different models can't be mixed.
Ivysaur → Gte Micro v4
Re-embed your whole corpus›
Vectors from different models can't be mixed.