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News Summarizer T5 GGUF

Developed by mradermacher
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.
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