The fastest way to get this model running locally is via Optional Features.

Please follow the instructions listed below to get started.

1-click setup: the app automatically fetches the large weight files.

The program scans your VRAM and RAM to seamlessly apply optimal configurations.

🧮 Hash-code: a25c82c8a9a25188a409454b22e6f833 • 📆 2026-06-28 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: required: 16 GB absolute minimum for small models Disk Space:70 GB free space for full FP16 weights storage GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference

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:

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