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  • Models
  • Model Descriptions
  • bge-reranker-v2-m3
Available Models

Reranker Models

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This page provides information on the Reranker models that are available in the Prediction Guard API. These models are designed for semantically ranking text, and are used in the /rerank endpoint.

Models

Model NameTypeUse CaseContext LengthMore Info
bge-reranker-v2-m3RerankerUsed for semantically ranking queries512link

Model Descriptions

bge-reranker-v2-m3

BAAI/bge-reranker-v2-m3 is a lightweight, multilingual reranker model designed for efficient and accurate text retrieval tasks.

Type: Reranker
Use Case: Used for Semantically Ranking Documents

https://huggingface.co/BAAI/bge-reranker-v2-m3

Unlike embedding models, rerankers take a query and document (or passage) as input and directly output a similarity score. The output relevance score can be converted to a float value in the range [0,1] using a sigmoid function.

Key Features: • Multilingual Support: Excels across multiple languages with strong cross-lingual capabilities. • Efficiency: Lightweight design ensures fast inference and easy deployment. • Versatility: Supports a range of use cases and scenarios.

This model offers an excellent balance between performance and deployment efficiency, making it a powerful choice for a wide range of text retrieval scenarios.