jinaai/jina-embeddings-v5-omni-nano

feature-extraction model by jinaai

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ArXiv | Blog Average score vs. parameter count across image (MIEB-Lite), video (MMEB-V), and audio (MAEB) benchmarks — jina-v5-omni-nano and jina-v5-omni-small define the open-weight frontier (Table 1 in the ArXiv report). jina-embeddings-v5-omni-nano is a multimodal embedding model that accepts text, images, video, and audio and produces embeddings in a shared vector space aligned with the text-only jinaai/jina-embeddings-v5-text-nano — so you can index with text and query with any modality, no reindexing. For higher performance at a larger size, see jinaai/jina-embeddings-v5-omni-small. This is the base repository — it holds all task adapters (retrieval, classification, clustering, text-matching). For a single task, pre-merged task-specific variants are also available: The fastest way to use v5-omni in production. Elastic Inference Service (EIS) provides managed embedding inference with built-in scaling, so you can generate embeddings directly within your Elastic deployment. See the Elastic Inference Service documentation for setup details. For minimum versions see the Requirements section…

jinaai/jina-embeddings-v5-omni-nano on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-09-26T06:45:46.616Z

Inside the original model card — Document outline
  1. jina-embeddings-v5-omni-nano: Multi-Task Omni Embedding Base (Nano)
  2. Model Overview
  3. Via Elastic Inference Service
  4. Install
  5. Quickstart
  6. Selective Modality Loading
  7. Via sentence-transformers
  8. Via vLLM
  9. Matryoshka (truncating embeddings)
  10. Batching
  11. Compatibility
  12. License

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Model overview

jinaai/jina-embeddings-v5-omni-nano is a feature-extraction model repository published by jinaai on Hugging Face. The source reports the transformers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
feature-extraction
Library
transformers
Recent downloads (30 days)
99,687
Cumulative likes
42
Hugging Face trending score
0
Reported safetensors parameters
985,984,512
Architecture
JinaEmbeddingsV5OmniModel
License
cc-by-nc-4.0
Access
Not gated by Hugging Face
Created
2026-04-01T22:06:51.000Z
Last modified
2026-08-27T12:57:31.000Z

Compatibility and lineage

Reported languages: multilingual

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Model card and usage instructions

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-09-26T06:38:46.915Z. Daily imports are snapshots, not real-time monitoring.

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