jinaai/jina-embeddings-v5-omni-nano
feature-extraction model by jinaai
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
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…
Read the full model card ↗ · Preview checked 2026-09-26T06:45:46.616Z
Inside the original model card — Document outline
- jina-embeddings-v5-omni-nano: Multi-Task Omni Embedding Base (Nano)
- Model Overview
- Via Elastic Inference Service
- Install
- Quickstart
- Selective Modality Loading
- Via sentence-transformers
- Via vLLM
- Matryoshka (truncating embeddings)
- Batching
- Compatibility
- License
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Documentation belongs to its respective authors. Reported project/model license: cc-by-nc-4.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
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.
Use and evaluate
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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.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.