remma-o1

Overview

remma-o1 is an open-source Small Language Model (SLM) designed for collaboration, and accurate natural language processing. This project aims to empower developers and researchers by providing:

• Versatile and context-aware AI capabilities.
• A robust, adaptable foundation for building intelligent systems.
• Opportunities for community-driven innovation and enhancements.

Key Features

• Open Source: Built to foster collaboration and innovation.
• Scalable: Easily adaptable for various NLP tasks and applications.
• Efficient: Optimized for performance and accuracy.
• Community-Centric: Encourages contributions to enhance features and usability.
• Model Size: Model parameters: 1177.79M

Getting Started

Prerequisites

Ensure you have the following installed:

• Python 3.10 or higher
• Git

Installation

1. Clone the repository:

   git clone https://github.com/OpenVanguard/.git
   cd 

2. Install dependencies:

   pip install -r requirements.txt

3. Verify installation by running a test script:

   python test_remma.py

Usage

Import the model and start using it in your Python projects:

from openvangaurd import Remma

model = Remma.load()
response = model.generate("What is open source?")
print(response)

Contributing

We welcome contributions to remma-o1! Whether it's reporting bugs, suggesting features, or submitting pull requests, your input helps improve this project. Please see the CONTRIBUTING.md file for guidelines.

Roadmap

• Fine-Tuning Support: Enable fine-tuning for domain-specific tasks.
• Multi-Language Support: Expand capabilities to support multiple languages.
• API Integration: Provide a RESTful API for seamless integration.

License

This project is licensed under the MIT License. See the LICENSE file for details.

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For updates and discussions, follow OpenVanguard.