German RAG BGE M3 MERGED x SNOWFLAKE ARCTIC HESSIAN AI This is a merged sentence transformers model. It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more. Our German RAG BGE M3 MERGED Model was merged with Snowflake/snowflake arctic embed l v2.0 to exceed performances from each Base Model. Model Details Model Description Model Type: Sentence Transformer Maximum Sequence Length: 8192 tokens Output Dimensionality: 1024 tokens Similarity Function: Cosine Similarity Model Sources Documentation: Sentence Transformers Documentation Repository: Sentence Transformers on GitHub Hugging Face: Sentence Transformers on Hugging Face Full Model Architecture Evaluation MTEB Tasks Classification AmazonCounterfactualClassification AmazonReviewsClassification MassiveIntentClassification MassiveScenarioClassification MTOPDomainClassification MTOPIntentClassification Pair Classification FalseFriendsGermanEnglish PawsXPairClassification Retrieval GermanQuAD Retrieval GermanDPR STS (Semantic Textual Similarity) GermanSTSBenchmark Comparison between the Snowfla…
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