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metadata
license: apache-2.0
tags:
  - not-for-all-audiences
  - code

ATLAS-QUANTUM

Author: steef68
Repository: ATLAS-QUANTUM

Overview

ATLAS-QUANTUM is a high-efficiency implementation of a LLaMA-based model with the following features:

  • Architecture: LLaMA (Large Language Model Meta AI)
  • Model Size: 6.74 billion parameters
  • Quantization: 2-bit quantization (Q2_K)
  • Purpose: Optimized for lightweight inference and deployment
  • Library Compatibility: Details unavailable, refer to the Hugging Face documentation.

Usage

This model can be deployed using Hugging Face's Inference API or integrated into your own applications. For deployment, refer to the Hugging Face documentation. Access the repository and required files at the following links:

Notes

Limitations

  • Runtime Issues: The linked Hugging Face Space has reported runtime errors. Ensure the latest dependencies are installed before testing or deploying.
  • Documentation: Currently, the README.md and model card are minimal. Contributors are encouraged to expand and improve the documentation.

Contributions

Contributions are welcome! If you'd like to enhance the model card, update the code, or debug runtime errors, please fork the repository and submit a pull request.

Quick Start

  1. Clone the Repository:

    git clone https://huggingface.co/steef68/ATLAS-QUANTUM
cd ATLAS-QUANTUM

  2. Install Dependencies: Ensure you have the required libraries (details in progress).

  3. Run Locally: Use the provided scripts or adapt them to your setup.

Resources

Model Repository: ATLAS-QUANTUM

Inference Space: Hugging Face Space

Issues and Logs: View container logs for runtime errors here.

License

This model is distributed under the Hugging Face Terms of Service. Please review the license for usage and distribution terms.

This README format provides a comprehensive overview, usage instructions, and guidance for contributors while adhering to the repository's current state012.