Model Selection

Text Relevance Scoring

# Text Relevance Scoring

Bge Reranker V2 M3 Q5 K M GGUF

This model is converted from BAAI/bge-reranker-v2-m3 into GGUF format using llama.cpp via ggml.ai's GGUF-my-repo space, primarily for text classification tasks.

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Reranker Bert Tiny Gooaq Bce Tanh V3

This is a BERT-tiny fine-tuned cross-encoder model for computing similarity scores between text pairs, suitable for tasks like semantic search and text classification.

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cross-encoder-testing

Bge Reranker V2 M3 Q4 K M GGUF

This model is the GGUF quantized version of BAAI/bge-reranker-v2-m3, designed for text reranking tasks with multilingual support.

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Bge Reranker V2 M3 Q4 K M GGUF

This model is converted from BAAI/bge-reranker-v2-m3 into GGUF format for text reranking tasks, supporting multiple languages.

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BAAI Bge Reranker V2 Gemma Gguf

A multilingual reranking model based on Gemma-2B, suitable for text relevance ranking tasks and supports multilingual scenarios.

ko-reranker is a text ranking model fine-tuned with Korean data based on the BAAI/bge-reranker-large model.

Transformers Supports Multiple Languages

Japanese Reranker Cross Encoder Base V1

This is a Japanese-trained Reranker (CrossEncoder) model for text relevance ranking tasks.

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Japanese Reranker Cross Encoder Small V1

This is a Japanese-trained Reranker (Cross-Encoder) model for text ranking tasks.

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Japanese Reranker Cross Encoder Xsmall V1

This is a Japanese-trained Reranker (Cross-Encoder) model for text ranking tasks.

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