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Papers
Ask, Don't Equip: Question-Driven Coding Agents for Deep Kernel Optimization
HybridResearcher: Bridging the Structured-Unstructured Boundary for Deep Research Agents
A collection of text embedding models optimized for retrieval accuracy and efficiency
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Snowflake/snowflake-arctic-embed-m
Sentence Similarity • 0.1B • Updated • 389k • • 169 -
Snowflake/snowflake-arctic-embed-l
Sentence Similarity • 0.3B • Updated • 536k • • 114 -
Snowflake/snowflake-arctic-embed-m-long
Sentence Similarity • 0.1B • Updated • 84.1k • 38 -
Snowflake/snowflake-arctic-embed-xs
Sentence Similarity • 22.6M • Updated • 524k • • 43
SwiftKV reduces prefill compute by up to 50% by combining model rewiring and knowledge-preserving self-distillation.
A collection of text embedding models optimized for retrieval accuracy and efficiency
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Snowflake/snowflake-arctic-embed-m
Sentence Similarity • 0.1B • Updated • 389k • • 169 -
Snowflake/snowflake-arctic-embed-l
Sentence Similarity • 0.3B • Updated • 536k • • 114 -
Snowflake/snowflake-arctic-embed-m-long
Sentence Similarity • 0.1B • Updated • 84.1k • 38 -
Snowflake/snowflake-arctic-embed-xs
Sentence Similarity • 22.6M • Updated • 524k • • 43
A collection of pre-trained dense-MoE Hybrid transformer models