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GGUF My Repo is a tool designed to simplify the creation and quantization of Hugging Face models. It provides a streamlined interface for developers and data scientists to work with transformer models, enabling efficient model optimization and deployment.
• Model Creation: Easily create custom Hugging Face models tailored to your specific needs.
• Quantization: Optimize models for inference by converting them into quantized versions, reducing memory usage and improving performance.
• Integration with Hugging Face Ecosystem: Seamless compatibility with Hugging Face libraries and repositories.
• Customization Options: Fine-tune models by adjusting parameters, layers, and configurations.
• Deployment Support: Export models in formats ready for deployment in various environments.
What models are supported by GGUF My Repo?
GGUF My Repo supports a wide range of Hugging Face transformer models, including popular architectures like BERT, RoBERTa, and ResNet.
How do I quantize a model using GGUF My Repo?
Quantization can be done through the tool's interface or command-line scripts. Simply select your model and choose from preset quantization options.
Can I customize the quantization process?
Yes, GGUF My Repo allows you to fine-tune quantization settings, such as bit width and quantization granularity, to suit your specific requirements.