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Vũ Khánh Duy

PROFILE

Vũ Khánh Duy

Developed MPS device support with precision-aware execution for the vllm-project/llm-compressor repository, enabling model compression workflows to run efficiently on Apple Silicon hardware. The implementation introduced device-aware precision selection throughout the compression, fusion, and transform stages, with a robust fallback to float32 for unsupported MPS operations. Python was used to update and expand unit tests, ensuring compatibility and coverage for the new precision logic. The work included end-to-end validation, confirming successful quantization and fast inference on MPS devices. Integration with compressed-tensors and improved device warnings enhanced reliability, unlocking production use of quantized models on Apple platforms.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
64
Activity Months1

Work History

April 2026

1 Commits • 1 Features

Apr 1, 2026

April 2026: Implemented MPS Device Support with Precision-Aware Execution in vllm-project/llm-compressor. Added device-aware precision selection across compression, fusion, and transform stages, with a safe fallback to float32 for unsupported MPS operations. Updated and expanded unit tests to exercise the new precision path and maintain compatibility. Completed end-to-end validation: successful quantization and quick inferences on MPS, with a compressed model produced. Coordinated with dependencies (compressed-tensors PR #662) and improved device-related warnings and parallelism handling. These changes extend Apple Silicon support, reduce runtime errors, and unlock production use of the compressor on MPS devices.

Activity

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Quality Metrics

Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage60.0%

Skills & Technologies

Programming Languages

Python

Technical Skills

Machine LearningModel CompressionPython DevelopmentQuantization

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

vllm-project/llm-compressor

Apr 2026 Apr 2026
1 Month active

Languages Used

Python

Technical Skills

Machine LearningModel CompressionPython DevelopmentQuantization