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Lacia Sum Small V1 GGUF

Developed by mradermacher
Lacia_sum_small_v1 is a statically quantized model based on the T5 architecture, primarily designed for text summarization tasks. It supports Russian and English, making it suitable for natural language processing applications.
Downloads 312
Release Time : 2/10/2025

Model Overview

This model is a statically quantized text summarization model based on the T5 architecture, designed for Russian and English text summarization tasks.

Model Features

Multilingual support
Supports text summarization in both Russian and English.
Static quantization
Offers multiple quantization versions to suit different hardware environments and performance needs.
Efficient inference
Optimized quantized model provides fast inference speeds.

Model Capabilities

Text summarization
Natural language processing
Multilingual support

Use Cases

Content summarization
News summarization
Automatically generates concise summaries of news articles.
Document summarization
Extracts key information from long documents to generate summaries.
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