EXCEEDS logo
Exceeds
Vũ Khánh Duy

PROFILE

Vũ Khánh Duy

Khánh Duy implemented MPS device support with precision-aware execution in the vllm-project/llm-compressor repository, enabling Apple Silicon compatibility for model compression workflows. Using Python and leveraging machine learning and quantization techniques, Khánh Duy introduced device-aware precision selection across compression, fusion, and transform stages, with a fallback to float32 for unsupported MPS operations. The work included updating and expanding unit tests to validate the new precision path and ensure compatibility, as well as coordinating with dependencies to improve device warnings and parallelism handling. This engineering effort reduced runtime errors and enabled production use of compressed models on MPS devices.

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

Loading activity data...

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