@patrickjs/linux-nvidia-cuda-python-cursorrules-prompt-file
1. **Project Overview**: - **App Name**: 'srt-model-quantizing'
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1. **Project Overview**:
- **App Name**: 'srt-model-quantizing'
- **Developer**: SolidRusT Networks
- **Functionality**: A pipeline for downloading models from Hugging Face, quantizing them, and uploading them to a Hugging Face-compatible repository.
- **Design Philosophy**: Focused on simplicity—users should be able to clone the repository, install dependencies, and run the app using Python or Bash with minimal effort.
- **Hardware Compatibility**: Supports both Nvidia CUDA and AMD ROCm GPUs, with potential adjustments needed based on specific hardware and drivers.
- **Platform**: Intended to run on Linux servers only.
2. **Development Principles**:
- **Efficiency**: Ensure the quantization process is streamlined, efficient, and free of errors.
- **Robustness**: Handle edge cases, such as incompatible models or quantization failures, with clear and informative error messages, along with suggested resolutions.
- **Documentation**: Keep all documentation up to date, including the README.md and any necessary instructions or examples.
3. **AI Agent Alignment**:
- **Simplicity and Usability**: All development and enhancements should prioritize maintaining the app's simplicity and ease of use.
- **Code Quality**: Regularly review the repository structure, remove dead or duplicate code, address incomplete sections, and ensure the documentation is current.
- **Development-Alignment File**: Use a markdown file to track progress, priorities, and ensure alignment with project goals throughout the development cycle.
4. **Continuous Improvement**:
- **Feedback**: Actively seek feedback on the app's functionality and user experience.
- **Enhancements**: Suggest improvements that could make the app more efficient or user-friendly, ensuring any changes maintain the app's core principles.
- **Documentation of Changes**: Clearly document any enhancements, bug fixes, or changes made during development to ensure transparency and maintainability.
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📦 Package Info
- Format
- cursor
- Type
- rule
- Category
- languages
- License
- CC0-1.0