jinaai/jina-embeddings-v5-text-nano-retrieval
sentence-similarity model by jinaai
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Model card & documentation
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Elastic Inference Service | ArXiv | Release Note | Blog jina-embeddings-v5-text-nano-retrieval is a compact, high-performance text embedding model designed for information retrieval. It is part of the jina-embeddings-v5-text model family, which also includes jina-embeddings-v5-text-small, for better performance at a bigger size. Trained using a novel approach that combines distillation with task-specific contrastive losses, jina-embeddings-v5-text-nano-retrieval outperforms existing state-of-the-art models of similar size across diverse embedding benchmarks. For training details and evaluation results, see our technical report. Requirements The following Python packages are required: via Elastic Inference Service The fastest way to use v5-text 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. via sentence-transformers via vLLM via llama.cpp (GGUF) Since our nano model is based on jinaai/jina-embeddings-v5-text-nano, which is not yet supported by llama.cpp, we provide our own…
Read the full model card ↗ · Preview checked 2026-10-27T15:57:27.859Z
Inside the original model card — Document outline
- jina-embeddings-v5-text: Task-Targeted Embedding Distillation
- Model Overview
- Training and Evaluation
- Usage
- Optional / Recommended
- License
- Citation
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Model overview
jinaai/jina-embeddings-v5-text-nano-retrieval is a sentence-similarity model repository published by jinaai on Hugging Face. The source reports the llama.cpp library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- sentence-similarity
- Library
- llama.cpp
- Recent downloads (30 days)
- 141,853
- Cumulative likes
- 19
- Hugging Face trending score
- 1
- Reported safetensors parameters
- 211,766,016
- Architecture
- EuroBertModel
- License
- cc-by-nc-4.0
- Access
- Not gated by Hugging Face
- Created
- 2026-02-10T12:51:31.000Z
- Last modified
- 2026-04-15T09:36:21.000Z
Compatibility and lineage
Reported languages: multilingual
Reported base models: jinaai/jina-embeddings-v5-text-nano
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 2026-09-23T06:38:28.992Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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