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-license: apache-2.0
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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.
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+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
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+Performance and Efficiency
+The quantized version of Zephyr 7B is optimized for environments with limited computational resources. It offers:
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+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.
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+Contributing
+We welcome contributions to improve the Zephyr 7B model. Please submit pull requests or open issues for any enhancements or bugs you encounter.
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+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.
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+Contact
+For any questions or inquiries, please contact us at akshayhedaoo7246@gmail.com.