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Text Generation
Optimum-CLI-Tool Tool

Optimum-CLI-Tool Tool

Optimum CLI Commands. Compress, Quantize and Convert!

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What is Optimum-CLI-Tool Tool ?

The Optimum-CLI-Tool is a command-line interface designed to optimize machine learning models through compression, quantization, and conversion. It streamlines the process of preparing models for deployment, focusing on efficiency and performance. This tool is particularly useful for users working with Text Generation tasks and aims to simplify model optimization workflows.

Features

  • Model Compression: Reduces model size while maintaining accuracy.
  • Quantization Support: Converts models to lower-precision data types for faster inference.
  • Conversion Assistance: Facilitates conversion of models between popular formats (e.g., TensorFlow, PyTorch).
  • Integration with OpenVINO: Optimizes models for Intel OpenVINO compatibility.
  • Cross-Platform Compatibility: Runs on multiple operating systems.
  • Real-Time Metrics: Provides insights into model performance during optimization.

How to use Optimum-CLI-Tool Tool ?

  1. Install the Tool: Download and install the Optimum-CLI-Tool from the official repository.
  2. Prepare Your Model: Ensure your model is in a supported format (e.g., .pb, .pt, .onnx).
  3. Navigate to Model Directory: Use the command line to move to the directory containing your model.
  4. Specify Optimization Task: Choose the desired optimization task (e.g., quantization, conversion).
  5. Run the Command: Execute the command with the appropriate parameters (e.g., input model, output path).
    optimum-cli convert --input-model your_model.pb --output-model optimized_model.xml
    
  6. Verify Output: Check the output directory for the optimized model and review performance metrics.

Frequently Asked Questions

What is model quantization?
Quantization reduces the numerical precision of model weights, decreasing model size and improving inference speed without significant loss in accuracy.

Which frameworks does Optimum-CLI-Tool support?
The tool supports TensorFlow, PyTorch, and OpenVINO, allowing seamless conversion between these formats.

How do I convert a model to OpenVINO format?
Run the tool with the conversion option, specifying the input model and desired output format. For example:

optimum-cli convert --input-model your_model.pb --output-model optimized_model.xml --target-framework openvino

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