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Papers
Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning
Language Models Model Language
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 • 365k • • 162 -
Snowflake/snowflake-arctic-embed-l
Sentence Similarity • 0.3B • Updated • 49k • • 100 -
Snowflake/snowflake-arctic-embed-m-long
Sentence Similarity • 0.1B • Updated • 52.6k • 38 -
Snowflake/snowflake-arctic-embed-xs
Sentence Similarity • 22.6M • Updated • 116k • • 38
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 • 365k • • 162 -
Snowflake/snowflake-arctic-embed-l
Sentence Similarity • 0.3B • Updated • 49k • • 100 -
Snowflake/snowflake-arctic-embed-m-long
Sentence Similarity • 0.1B • Updated • 52.6k • 38 -
Snowflake/snowflake-arctic-embed-xs
Sentence Similarity • 22.6M • Updated • 116k • • 38
A collection of pre-trained dense-MoE Hybrid transformer models