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Deploy jina-embeddings-v5-text-nano

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Deploy jina-embeddings-v5-text-nano

To install this model locally in the shortest time, opt for Docker.

Follow the step-by-step instructions below.

The installer automatically pulls the model (could be multiple GBs).

During setup, the script automatically determines and applies the best settings tailored to your machine.

🖹 HASH-SUM: c55c3bf8715763115788a6f838ccd3b8 | 📅 Updated on: 2026-06-28



  • CPU: 8-core / 16-thread recommended for orchestration
  • RAM: fast 5600MHz+ required to avoid memory bottlenecks
  • Disk: 150+ GB for high-context vector database storage
  • Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading

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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