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Snowflake recently released the Arctic Embed 2.0 models, which deliver state-of-the-art multilingual retrieval performance while maintaining efficiency and compactness. These models are open source under the permissive Apache 2.0 license and include:
Arctic Embed M 2.0: Optimized for inference efficiency with 305M parameters.
Arctic Embed L 2.0: Optimized for retrieval quality with 568M parameters.
We believe these models would be a valuable addition to the Hugging Face TEI, enhancing accessibility for developers seeking top-tier multilingual embedding solutions.
Open source status
The model implementation is available
The model weights are available
Provide useful links for the implementation
No response
The text was updated successfully, but these errors were encountered:
Model description
Snowflake recently released the Arctic Embed 2.0 models, which deliver state-of-the-art multilingual retrieval performance while maintaining efficiency and compactness. These models are open source under the permissive Apache 2.0 license and include:
Arctic Embed M 2.0: Optimized for inference efficiency with 305M parameters.
Arctic Embed L 2.0: Optimized for retrieval quality with 568M parameters.
We believe these models would be a valuable addition to the Hugging Face TEI, enhancing accessibility for developers seeking top-tier multilingual embedding solutions.
Open source status
Provide useful links for the implementation
No response
The text was updated successfully, but these errors were encountered: