How to Run jina-embeddings-v5-text-nano No-Internet Version For Beginners

How to Run jina-embeddings-v5-text-nano No-Internet Version For Beginners

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

Please follow the instructions listed below to get started.

The client handles the setup, pulling gigabytes of data automatically.

The smart installation system will instantly find the perfect configuration.

🔍 Hash-sum: a4655c7b75223cdae4b1725b3fe963ca | 🕓 Last update: 2026-07-02



  • CPU: AVX2/AVX-512 instruction set required for llama.cpp
  • RAM: 32 GB or higher for smooth 32k context lengths
  • Disk Space: required: fast PCIe 4.0 drive for instant boots
  • GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats

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
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