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license: apache-2.0
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This repository hosts both the standard and quantized versions of the Zephyr 7B model, allowing users to choose the version that best fits their resource constraints and performance needs.

# Model Details
## Model Name: Zephyr 7B
## Model Size: 7 billion parameters
## Architecture: Transformer-based
## Languages: Primarily English, with support for multilingual text
## Quantized Version: Available for reduced memory footprint and faster inference

# Performance and Efficiency
The quantized version of Zephyr 7B is optimized for environments with limited computational resources. It offers:

## Reduced Memory Usage: The model size is significantly smaller, making it suitable for deployment on devices with limited RAM.
## Faster Inference: Quantized models can perform faster inference, providing quicker responses in real-time applications.

# Fine-Tuning
You can fine-tune the Zephyr 7B model on your own dataset to better suit specific tasks or domains. Refer to the Huggingface documentation for guidance on how to fine-tune transformer models.

# Contributing
We welcome contributions to improve the Zephyr 7B model. Please submit pull requests or open issues for any enhancements or bugs you encounter.

# License
This model is licensed under the MIT License.

# Acknowledgments
Special thanks to the Huggingface team for providing the transformers library and to the broader AI community for their continuous support and contributions.

# Contact
For any questions or inquiries, please contact us at akshayhedaoo7246@gmail.com.