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Thusinh1969 Gemma2 2b Rerank Checkpoint 8800 Gguf
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Thusinh1969 Gemma2 2b Rerank Checkpoint 8800 Gguf

Developed by RichardErkhov
Text ranking model based on Gemma 2B architecture, offering multiple quantization versions to suit different hardware needs
#Text Reordering#Lightweight Model#Multiple Quantization Versions
Downloads 71
Release Time : 8/23/2024

Model Overview

This model is a text ranking model based on the Gemma 2B architecture, primarily used for relevance ranking and reordering tasks. It provides 21 different quantization versions from Q2_K to Q8_0, suitable for various computational resource environments.

Model Features

Multiple Quantization Versions
Offers 21 different quantization versions from Q2_K (1.15GB) to Q8_0 (2.59GB), catering to various hardware environments
Efficient Text Ranking
Specially optimized text ranking model capable of effectively evaluating text relevance and performing reordering
Based on Gemma Architecture
Utilizes Google's Gemma 2B architecture, achieving a good balance between performance and efficiency

Model Capabilities

Text Relevance Evaluation
Search Result Reordering
Document Relevance Ranking

Use Cases

Information Retrieval
Search Engine Result Ranking
Relevance reordering of search engine results
Improves search result relevance and user experience
Document Retrieval System
Retrieving and ranking the most relevant documents in a document library
Enhances document retrieval accuracy
Recommendation System
Content Recommendation Ranking
Final ranking of content candidates generated by a recommendation system
Improves content relevance and click-through rate
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