Model Selection

Search Optimization

# Search Optimization

Lightblue Reranker 0.5 Cont Gguf

This is a text ranking model used for reordering and scoring texts.

Jbaron34 Qwen2.5 0.5b Bebop Reranker Newer Small Gguf

A 50-million-parameter text reranking model based on the Qwen2.5 architecture, suitable for information retrieval and document ranking tasks

Large Language Model

Jbaron34 Qwen2.5 0.5b Bebop Reranker New Small Gguf

A text reranking model based on the Qwen2.5 architecture with 0.5B parameters, suitable for reranking tasks.

Large Language Model

Gguf Jina Reranker V1 Tiny En

A model specifically designed for ultra-fast reranking, based on the JinaBERT architecture, supporting long text sequence processing (up to 8,192 tokens).

Text Embedding English

Bert Mini Finetune Question Detection

A query classification model fine-tuned on BERT-mini to distinguish between keyword queries and question/statement queries

Text Classification

Transformers English

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