jina-embeddings-v5-text-nano PC with NPU No-Internet Version

A standalone PowerShell module provides the fastest route to local installation.

Please follow the instructions listed below to get started.

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

An automated hardware sweep ensures the system will select the best tuning parameters.

🛡️ Checksum: 922e4f0d6cb4245c1e7237db138eb559 — ⏰ Updated on: 2026-07-02



  • Processor: 6-core 3.5 GHz minimum required
  • RAM: 32 GB highly recommended for 26B+ GGUF models
  • Disk Space: 80 GB NVMe SSD required for fast model weights loading
  • Graphics: TensorRT-LLM / vLLM inference engine compatible chip

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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