How to Install jina-embeddings-v5-text-nano 100% Private PC

For an instant local deployment, running a pre-configured shell script is ideal.

Make sure to follow the instructions below.

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

The deployment tool scans your environment and chooses the ideal parameters.

🧩 Hash sum → bf89d589381cc9ec59102500de05a32d — Update date: 2026-06-29



  • CPU: modern architecture (Zen 3 / Alder Lake minimum)
  • RAM: fast 5600MHz+ required to avoid memory bottlenecks
  • Disk Space: free: 80 GB on system drive for scratch space
  • GPU: modern architecture (Ada Lovelace / Ampere minimum)

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:

Parameters2 million
Size (MB)7.8
Latency (ms)<5
Throughput (tokens/s)2000
Supported Languages30
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