Using the Windows Package Manager (winget) is the quickest way to trigger the local setup.
Check out the detailed setup guide below to begin.
The download manager will automatically pull several gigabytes of data.
The automated installation script takes care of everything by tailoring the setup perfectly to your system specs.
The jina-embeddings-v5-text-nano model delivers compact yet high‑quality text embeddings optimized for edge devices. With only 2 million parameters, it achieves competitive performance on semantic similarity tasks while maintaining a small memory footprint. Its inference latency is under 5 ms on typical CPUs, making it ideal for real‑time applications that require fast processing. The model supports multiple languages and preserves contextual nuances better than earlier nano‑sized alternatives. Key metrics are summarized in the following table:
| Parameters | 2 million |
| Size (MB) | 7.8 |
| Latency (ms) | <5 |
| Throughput (tokens/s) | 2000 |
| Supported Languages | 30 |
- Script downloading custom layer weight arrays for experimental model merges
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