text_summarization-Q8_0-GGUF open-source text summarization model - Supports efficient inference for content extraction

Text Summarization Q8 0 GGUF

Developed by vynride

This model is a GGUF-format text summarization model converted from Falconsai/text_summarization, designed for efficient inference via llama.cpp.

Text Generation EnglishOpen Source License:Apache-2.0 #GGUF Quantization Format #Llama.cpp Deployment #Lightweight Summarization

Downloads 22

Release Time : 2/21/2025

Model Overview

This model specializes in text summarization tasks, capable of condensing lengthy texts into concise summaries while retaining key information.

Model Features

GGUF Format Optimization

Converted to GGUF format to optimize inference efficiency under the llama.cpp framework

Open-source for Commercial Use

Licensed under Apache 2.0, allowing commercial use and modification

Easy Deployment

Supports quick deployment and usage via simple command-line tools

Model Capabilities

Text summarization generation

Key information extraction

Long-text compression

Use Cases

Content Processing

News Summarization

Automatically generates key-point summaries of news articles

Saves manual summarization time and improves information retrieval efficiency

Research Report Condensation

Compresses lengthy academic papers or technical reports into executive summaries

Helps quickly grasp core research content

Business Applications

Meeting Minutes Summarization

Automatically generates concise summaries of meeting discussion points

Improves meeting efficiency and facilitates follow-up

🚀 vynride/text_summarization-Q8_0-GGUF

This model is a GGUF - formatted conversion from the base model, designed for efficient text summarization.

🚀 Quick Start

This model was converted to GGUF format from Falconsai/text_summarization using llama.cpp via the ggml.ai's GGUF - my - repo space. Refer to the original model card for more details on the model.

✨ Features

Open - source Contribution: Hugging Face's Transformers library, which this model is related to, has become the de - facto standard for NLP, enabling easy access to state - of - the - art pre - trained language models like BERT and GPT - 3.
Versatile Applications: The underlying models have numerous applications, including chatbots, virtual assistants, language translation, and sentiment analysis.

📦 Installation

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

💻 Usage Examples

Basic Usage

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo vynride/text_summarization-Q8_0-GGUF --hf-file text_summarization-q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo vynride/text_summarization-Q8_0-GGUF --hf-file text_summarization-q8_0.gguf -c 2048

Advanced Usage

You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo.

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL = 1 flag along with other hardware - specific flags (for ex: LLAMA_CUDA = 1 for Nvidia GPUs on Linux).

cd llama.cpp && LLAMA_CURL = 1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo vynride/text_summarization-Q8_0-GGUF --hf-file text_summarization-q8_0.gguf -p "The meaning to life and the universe is"

./llama-server --hf-repo vynride/text_summarization-Q8_0-GGUF --hf-file text_summarization-q8_0.gguf -c 2048

📄 License

This model is released under the Apache 2.0 license.

Property	Details
Model Type	Text Summarization
Base Model	Falconsai/text_summarization
Conversion Format	GGUF
Tags	llama - cpp, gguf - my - repo

Featured Recommended AI Models

Empowering the Future, Your AI Solution Knowledge Base

English 简体中文繁體中文にほんご