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.
- 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
Ensure you have the following installed:
- Python 3.10 or higher
- Git
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Clone the repository:
git clone https://github.com/OpenVanguard/.git cd -
Install dependencies:
pip install -r requirements.txt
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Verify installation by running a test script:
python test_remma.py
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)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.
- 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.
This project is licensed under the MIT License. See the LICENSE file for details.
For updates and discussions, follow OpenVanguard.