HabanaAI/vllm-fork
Sep 2025 – Sep 2025
1 Month active
Languages Used
PythonYAML
Technical Skills
Graph ExecutionHPU OptimizationModel Performance TuningMultimodal Models
Supreet Singh
PROFILE
Supreet Singh
Supreet Singh Palne developed an HPU graph execution optimization feature for the HabanaAI/vllm-fork repository, focusing on improving throughput and accuracy for Gemma3 Vision models. Using Python and YAML, Supreet introduced multimodal bucketing and consistent hashing for HPU graphs, which stabilized execution paths and reduced runtime overhead by minimizing GC recompiles. The work also included cloning output data from the multimodal projector to enhance final model output quality. Supreet’s approach demonstrated depth in graph execution, HPU optimization, and model performance tuning, addressing both efficiency and accuracy challenges in multimodal models within a focused, high-impact monthly development cycle.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
83
Activity Months1
Your Network
2024 people
Work History
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for HabanaAI/vllm-fork focusing on feature delivery, bug fixes, and overall impact.
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for HabanaAI/vllm-fork focusing on feature delivery, bug fixes, and overall impact.
September 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
Graph ExecutionHPU OptimizationModel Performance TuningMultimodal Models
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