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@@ -2634,12 +2634,12 @@ the model enables fast inference while delivering better performance than our sm
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  It is recommended to use a single GPU for inference.
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  Additionally, we provide the following options:
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- - `jina-embedding-t-en-v1`: 14 million parameters.
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- - `jina-embedding-s-en-v1`: 35 million parameters.
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- - `jina-embedding-b-en-v1`: 110 million parameters **(you are here)**.
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- - `jina-embedding-l-en-v1`: 330 million parameters.
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- - `jina-embedding-1b-en-v1`: 1.2 billion parameters, 10* bert-base size (soon).
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- - `jina-embedding-6b-en-v1`: 6 billion parameters 30* bert-base size(soon).
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  ## Data & Parameters
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  It is recommended to use a single GPU for inference.
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  Additionally, we provide the following options:
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+ - [`jina-embedding-t-en-v1`](https://huggingface.co/jinaai/jina-embedding-t-en-v1): 14 million parameters.
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+ - [`jina-embedding-s-en-v1`](https://huggingface.co/jinaai/jina-embedding-s-en-v1): 35 million parameters
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+ - [`jina-embedding-b-en-v1`](https://huggingface.co/jinaai/jina-embedding-b-en-v1): 110 million parameters **(you are here)**..
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+ - [`jina-embedding-l-en-v1`](https://huggingface.co/jinaai/jina-embedding-l-en-v1): 330 million parameters.
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+ - `jina-embedding-1b-en-v1`: 1.2 billion parameters, 10 times bert-base (soon).
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+ - `jina-embedding-6b-en-v1`: 6 billion parameters, 30 times bert-base (soon).
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  ## Data & Parameters
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