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  ## Intended Usage & Model Info
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  `jina-embeddings-v2-small-en` is an English, monolingual **embedding model** supporting **8192 sequence length**.
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- It is based on a Bert architecture (JinaBert) that supports the symmetric bidirectional variant of [ALiBi](https://arxiv.org/abs/2108.12409) to allow longer sequence length.
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  The backbone `jina-bert-v2-small-en` is pretrained on the C4 dataset.
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  The model is further trained on Jina AI's collection of more than 400 millions of sentence pairs and hard negatives.
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  These pairs were obtained from various domains and were carefully selected through a thorough cleaning process.
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  This model has 33 million parameters, which enables lightning-fast and memory efficient inference, while still delivering impressive performance.
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  Additionally, we provide the following embedding models:
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- **V1 (Based on T5, 512 Seq)**
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-
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- - [`jina-embeddings-v1-small-en`](https://huggingface.co/jinaai/jina-embedding-s-en-v1): 35 million parameters.
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- - [`jina-embeddings-v1-base-en`](https://huggingface.co/jinaai/jina-embedding-b-en-v1): 110 million parameters.
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- - [`jina-embeddings-v1-large-en`](https://huggingface.co/jinaai/jina-embedding-l-en-v1): 330 million parameters.
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-
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- **V2 (Based on JinaBert, 8k Seq)**
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-
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  - [`jina-embeddings-v2-small-en`](https://huggingface.co/jinaai/jina-embeddings-v2-small-en): 33 million parameters **(you are here)**.
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  - [`jina-embeddings-v2-base-en`](https://huggingface.co/jinaai/jina-embeddings-v2-base-en): 137 million parameters.
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- - [`jina-embeddings-v2-large-en`](): 435 million parameters (releasing soon).
 
 
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  ## Data & Parameters
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  ## Intended Usage & Model Info
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  `jina-embeddings-v2-small-en` is an English, monolingual **embedding model** supporting **8192 sequence length**.
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+ It is based on a BERT architecture (JinaBERT) that supports the symmetric bidirectional variant of [ALiBi](https://arxiv.org/abs/2108.12409) to allow longer sequence length.
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  The backbone `jina-bert-v2-small-en` is pretrained on the C4 dataset.
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  The model is further trained on Jina AI's collection of more than 400 millions of sentence pairs and hard negatives.
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  These pairs were obtained from various domains and were carefully selected through a thorough cleaning process.
 
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  This model has 33 million parameters, which enables lightning-fast and memory efficient inference, while still delivering impressive performance.
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  Additionally, we provide the following embedding models:
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  - [`jina-embeddings-v2-small-en`](https://huggingface.co/jinaai/jina-embeddings-v2-small-en): 33 million parameters **(you are here)**.
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  - [`jina-embeddings-v2-base-en`](https://huggingface.co/jinaai/jina-embeddings-v2-base-en): 137 million parameters.
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+ - [`jina-embeddings-v2-base-zh`](): Chinese-English Bilingual embedding model (releasing soon).
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+ - [`jina-embeddings-v2-base-de`](): German-English Bilingual embedding model (releasing soon).
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+ - [`jina-embeddings-v2-base-es`](): Spanish-English Bilingual embedding model (releasing soon).
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  ## Data & Parameters
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