jina-embeddings-v5-text-nano Offline on PC No-Internet Version 5-Minute Setup

To install this model locally in the shortest time, opt for a direct curl execution.

Please follow the instructions listed below to get started.

No manual effort needed; the setup auto-ingests the large data.

The initial setup handles the heavy lifting, fine-tuning the environment for your device.

🧩 Hash sum → 114c4212de9e91357488b24e5f9eed96 — Update date: 2026-06-29



  • CPU: 8-core / 16-thread recommended for orchestration
  • RAM: 32 GB highly recommended for 26B+ GGUF models
  • Storage:100 GB free space for HuggingFace cache folder
  • Graphics: stable 30+ tk/s at 4-bit quantization on medium setup

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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