iree-org/wave
Apr 2025 – Apr 2025
1 Month active
Languages Used
Python
Technical Skills
Deep Learning KernelsMachine LearningPerformance OptimizationQuantization
Giuseppe Franco
PROFILE
Giuseppe Franco
Giuseppe Franco developed advanced quantization and optimization features for deep learning workflows, focusing on both the iree-org/wave and unslothai/unsloth repositories. He delivered FP8 attention scaling optimization in wave, using Python to rescale values and manage offsets, which improved dynamic range utilization and maintained output accuracy in quantized attention kernels. For unsloth, he implemented out-of-source quantizers and refactored the codebase to support quantization-aware training, enhancing maintainability and preparing the project for production deployment. His work demonstrated depth in deep learning kernels, model optimization, and quantization, addressing both performance and code quality in machine learning infrastructure.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
27
Activity Months2
Your Network
143 peopleShared Repositories
143
Work History
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary focusing on quantization readiness and code quality improvements for unsloth. Implemented out-of-source quantizers with QAT readiness, including refactoring to improve maintainability and organize static methods for quantization workflow. Changes prepared the codebase for production quantization and deployment, with pre-commit CI auto-fixes enhancing code quality.
1 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary focusing on quantization readiness and code quality improvements for unsloth. Implemented out-of-source quantizers with QAT readiness, including refactoring to improve maintainability and organize static methods for quantization workflow. Changes prepared the codebase for production quantization and deployment, with pre-commit CI auto-fixes enhancing code quality.
November 2025
April 2025
1 Commits • 1 Features
Apr 1, 2025In 2025-04, delivered FP8 Attention Scaling Optimization for iree-org/wave, improving FP8 range utilization in attention kernels by rescaling values and correctly applying/undoing offsets to maintain output accuracy. This work, tied to commit e35e0409b58f470fe638bf37c5179eb89f74e547 (Feat: better scaling for fp8 quant (#679)), lays groundwork for more efficient FP8 quantization. No major bugs fixed in the period.
April 2025
1 Commits • 1 Features
Apr 1, 2025In 2025-04, delivered FP8 Attention Scaling Optimization for iree-org/wave, improving FP8 range utilization in attention kernels by rescaling values and correctly applying/undoing offsets to maintain output accuracy. This work, tied to commit e35e0409b58f470fe638bf37c5179eb89f74e547 (Feat: better scaling for fp8 quant (#679)), lays groundwork for more efficient FP8 quantization. No major bugs fixed in the period.
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Quality Metrics
Correctness85.0%
Maintainability80.0%
Architecture80.0%
Performance85.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Deep Learning KernelsMachine LearningModel OptimizationPerformance OptimizationQuantization
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
unslothai/unsloth
Nov 2025 – Nov 2025
1 Month active
Languages Used
Python
Technical Skills
Machine LearningModel OptimizationQuantization