News Summarizer T5 GGUF
This is a statically quantized version of a T5-based news summarization model, supporting English text summarization tasks.
Downloads 167
Release Time : 4/1/2025
Model Overview
This model is a quantized version of SurAyush/news-summarizer-t5, focusing on generating concise summaries of news articles.
Model Features
Multiple Quantization Levels
Offers 12 different quantization levels from Q2_K to f16 to meet various scenario requirements.
Efficient Inference
Quantized models significantly reduce memory usage and computational resource demands, making them suitable for resource-constrained environments.
Quality Recommendations
Clearly marks recommended quantization versions (Q4_K_S/Q4_K_M) and highest-quality versions (Q6_K/Q8_0).
Model Capabilities
English Text Summarization
News Content Compression
Key Information Extraction
Use Cases
News Processing
News Brief Generation
Automatically compresses long news articles into concise summaries.
Content Preview Creation
Generates content previews for news aggregation platforms.
Information Processing
Document Summarization
Extracts key information from English documents.
Featured Recommended AI Models
Š 2025AIbase