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  license: mit
 
 
 
 
 
 
 
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  ---
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- # Marqo Chimera Arctic bge M
 
 
 
 
 
 
 
 
 
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- This is a chimera model which concatenates embeddings from [Snowflake/snowflake-arctic-embed-m-v1.5](https://huggingface.co/Snowflake/snowflake-arctic-embed-m-v1.5) and [BAAI/bge-base-en-v1.5](https://huggingface.co/BAAI/bge-base-en-v1.5). This model produces an embedding with 1536 dimensions (768+768) and has a total of 218M parameters (109+109).
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  ## Usage
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  # Score: 0.6144 | Document: "Definitely Naples! The birthplace of pizza, and it’s as authentic as it gets."
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  # Score: 0.2787 | Document: "Marqo is an end-to-end platform for embedding training and retrieval."
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  license: mit
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+ language:
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+ - en
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+ library_name: transformers
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+ tags:
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+ - feature-extraction
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+ - marqo
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+ - retrieval
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  ---
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+ <h1 align="center">Marqo's Chimera arctic-bge-m</h1>
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+ <h4 align="center">
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+ <p>
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+ <a href=#this-model>This Model</a> |
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+ <a href=#usage>Usage</a> |
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+ <a href="#faq">FAQ</a> |
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+ <a href="#about-marqo">About Marqo</a> |
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+ <a href="#acknowledgement">Acknowledgement</a>
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+ <p>
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+ </h4>
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+ ## This Model
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+ This is a chimera model which concatenates embeddings from [Snowflake/snowflake-arctic-embed-m-v1.5](https://huggingface.co/Snowflake/snowflake-arctic-embed-m-v1.5) and [BAAI/bge-base-en-v1.5](https://huggingface.co/BAAI/bge-base-en-v1.5). This model produces an embedding with 1536 dimensions (768+768) and has a total of 218M parameters (109+109). Embeddings from each model are unit normalized prior to concatenation.
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  ## Usage
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  # Score: 0.6144 | Document: "Definitely Naples! The birthplace of pizza, and it’s as authentic as it gets."
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  # Score: 0.2787 | Document: "Marqo is an end-to-end platform for embedding training and retrieval."
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  ```
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+
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+ ## FAQ
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+
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+ __Q: Do I need to prefix queries?__
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+ __A:__ Yes, this model has the same rules for prefixing as its constituent models. Queries in asymmetric retrieval should be prefixed with `"Represent this sentence for searching relevant passages: "`.
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+
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+ ## About Marqo
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+ [Marqo](https://www.marqo.ai/) is an end-to-end platform for training embeddings models and building vector search. Marqo is available as an open-source offering on our [GitHub](https://github.com/marqo-ai/marqo) or as a managed cloud service on [Marqo Cloud](https://cloud.marqo.ai).
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+
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+ ## Acknowledgement
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+ We want to acknowledge the original creators of the [Snowflake/snowflake-arctic-embed-m-v1.5](https://huggingface.co/Snowflake/snowflake-arctic-embed-m-v1.5) and [BAAI/bge-base-en-v1.5](https://huggingface.co/BAAI/bge-base-en-v1.5) models which are used to create this model.