Summllama3.2 3B GGUF
SummLlama3.2-3B is a 3.2B-parameter summary generation model optimized based on the Llama3 architecture, offering multiple quantization versions to accommodate different hardware requirements.
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Release Time : 11/20/2024
Model Overview
A lightweight language model focused on text summarization tasks, providing quantization options from Q2_K to Q8_0 to balance performance and resource consumption.
Model Features
Multi-level Quantization Options
Offers 12 quantization levels from Q2_K (1.36GB) to Q8_0 (3.42GB) to meet deployment needs under different hardware conditions
Optimized Prompt Template
Uses structured prompt templates to clearly distinguish system instructions from user input, improving summary generation accuracy
Lightweight and Efficient
With 3.2B parameters, it reduces computational resource requirements while maintaining quality, making it suitable for edge device deployment
Model Capabilities
Text Summary Generation
Long Text Compression
Key Information Extraction
Use Cases
Content Processing
News Summarization
Automatically generates core content summaries of news articles
Retains over 90% of key information from the original text
Meeting Minutes
Extracts decision points and action items from meeting records
Research Assistance
Paper Summarization
Automatically generates concise summaries of academic papers
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