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Models / jina-embeddings-v5-text-small
1 model (~596M) · ↓ 111.8K downloads a month · from $0.08/h on RTX 3060 right now. Each model's versions do the same job; quantized ones (AWQ, FP8, 4-bit) need less GPU memory and run on cheaper machines.
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| text matchingjinaai/jina-embeddings-v5-text-small-text-matching | Text Embeddings Inference | 1.2 GB | 3 GB | $0.08/h RTX 3060 |
| retrievaljinaai/jina-embeddings-v5-text-small-retrieval | Text Embeddings Inference | 1.2 GB | 3 GB | $0.08/h RTX 3060 |
| clusteringjinaai/jina-embeddings-v5-text-small-clustering | Text Embeddings Inference | 1.2 GB | 3 GB | $0.08/h RTX 3060 |
| text matching (thanhtan2136)thanhtan2136/jina-embeddings-v5-text-small-text-matching | Text Embeddings Inference | 1.2 GB | 3 GB | $0.08/h RTX 3060 |
Model details come from Hugging Face and are refreshed daily; prices follow the live offers. GPU memory is GridPup's estimate: the weights, room for an 8,192-token conversation (chat models) and the runtime's own memory. Large models are split across the GPUs of one machine ("4x RTX 4090").