Models tuned to be used with dot-product:
| Model | MSMARCO MRR@10 dev set | Performance Semantic Search (6 Datasets) | Queries (GPU / CPU) per sec. | 
| --- | :---: | :---: | :---: |
| msmarco-distilbert-base-tas-b | 34.43 | 49.25 | 7,000 / 350 |
| msmarco-distilbert-dot-v5 | 37.25 | 49.47 | 7,000 / 350 |
| msmarco-bert-base-dot-v5 | 38.08 | 52.11 | 4,000 / 170 |
These models produce normalized vectors of length 1, which can be used with dot-product, cosine-similarity and Euclidean distance:
| Model | MSMARCO MRR@10 dev set | Performance Semantic Search (6 Datasets) | Queries (GPU / CPU) per sec. | 
| --- | :---: | :---: | :---: |
| msmarco-MiniLM-L6-cos-v5 | 32.27 | 42.16 | 18,000 / 750 |
| msmarco-MiniLM-L12-cos-v5 | 32.75 | 43.89 | 11,000 / 400 |
| msmarco-distilbert-cos-v5 | 33.79 | 44.98 | 7,000 / 350 |
