Jina Embeddings v5 Text Nano
Text Nano uses 239 million parameters, including its task adapters. It is Jina's smaller v5 text release, with a EuroBERT-210M backbone and 768-dimensional vectors.
How the model works
Its training combines teacher embeddings from Qwen3-Embedding-4B with contrastive objectives. Retrieval, classification, clustering and text matching use separate adapters. The model card's specification table sets an 8,192-token input limit. A sentence elsewhere on the card says 32K; this directory uses the explicit model table, which also agrees with the provider catalog.Jina Embeddings v5 Text Nano model details
Use and access
Nano can reduce vectors to 32 dimensions through Matryoshka training. Jina publishes merged task versions and serving formats as variants of this model. Its weights are downloadable under CC BY-NC 4.0, with managed access through the Jina API and Elastic Inference Service. The small v5 model has a different backbone and a longer documented context.Jina Embeddings v5 Text Nano model detailsJina Embeddings v5 Text Nano technical overview
Specifications & access
| Detail | Value and conditions |
|---|---|
| Launch date | |
| Access | API, Downloadable |
| Model identifiers | jina-embeddings-v5-text-nanojinaai/jina-embeddings-v5-text-nanojina-embeddings-v5-text-nano-retrievaljina-embeddings-v5-text-nano-text-matchingjina-embeddings-v5-text-nano-classificationjina-embeddings-v5-text-nano-clustering |
| Context window | 8,192 tokens Maximum input sequence in the model card; serving limits can be lower. Jina Embeddings v5 Text Nano model details |
| Parameters | 239 million including task adaptersJina Embeddings v5 Text Nano model details |
| Embedding dimensions | 768; Matryoshka sizes down to 32Jina Embeddings v5 Text Nano model details |
| Weight license | CC BY-NC 4.0Jina Embeddings v5 Text Nano model details |
| Base model | EuroBERT-210MJina Embeddings v5 Text Nano model details |
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