whittle-org/whittle
Nov 2024 – Mar 2025
5 Months active
Languages Used
PythonJinjaJupyter Notebook
Technical Skills
Deep LearningModel OptimizationPyTorchMachine LearningModel ExtractionSoftware Engineering
Gabi Kadlecová
PROFILE
Gabi Kadlecová
Gabi Suchoparova contributed to the whittle-org/whittle repository by engineering robust improvements to GPT-based sub-network extraction, optimization, and evaluation workflows. She refactored rope cache management and sub-network reset logic to ensure reliable cache invalidation and consistent inference, leveraging deep learning and PyTorch expertise. Gabi introduced stratified random search for sub-network sampling, multi-metric evaluation, and flexible checkpointing, enhancing experimentation and deployment. Her work addressed LoRA integration issues, corrected parameter binning logic, and expanded model IO capabilities, including LitGPT export. Throughout, she emphasized maintainable code, comprehensive testing, and reproducibility, demonstrating depth in debugging, model optimization, and software engineering using Python.
Overall Statistics
Feature vs Bugs
43%Features
Repository Contributions
8Total
Bugs
4
Commits
8
Features
3
Lines of code
2,665
Activity Months5
Your Network
4 peopleWork History
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 performance snapshot for whittle-org/whittle focused on reliability improvements and enhancements to model IO and sub-network handling. Key work spans a critical bug fix in parameter binning and the introduction of flexible, scalable checkpointing with LitGPT export support.
2 Commits • 1 Features
Mar 1, 2025March 2025 performance snapshot for whittle-org/whittle focused on reliability improvements and enhancements to model IO and sub-network handling. Key work spans a critical bug fix in parameter binning and the introduction of flexible, scalable checkpointing with LitGPT export support.
March 2025
February 2025
3 Commits • 1 Features
Feb 1, 2025February 2025 - Whittle: Delivered key feature enhancements and critical bug fixes that improve sub-network optimization, evaluation robustness, and LoRA integration. Stratified Search and Evaluation Enhancements introduces stratified random search for sub-network configuration sampling and a refactored evaluation workflow with multi-metric support and flexible checkpointing for easier experimentation and deployment. LoRA Integration Fixes address duplication and indexing issues, ensuring correct application of LoRA weights across query/key/value projections based on enabled configurations and sub-network structures. These changes deliver better sampling efficiency, more reliable model evaluation, and cleaner, more maintainable code for future iterations.
February 2025
3 Commits • 1 Features
Feb 1, 2025February 2025 - Whittle: Delivered key feature enhancements and critical bug fixes that improve sub-network optimization, evaluation robustness, and LoRA integration. Stratified Search and Evaluation Enhancements introduces stratified random search for sub-network configuration sampling and a refactored evaluation workflow with multi-metric support and flexible checkpointing for easier experimentation and deployment. LoRA Integration Fixes address duplication and indexing issues, ensuring correct application of LoRA weights across query/key/value projections based on enabled configurations and sub-network structures. These changes deliver better sampling efficiency, more reliable model evaluation, and cleaner, more maintainable code for future iterations.
January 2025
1 Commits
Jan 1, 2025January 2025 monthly summary: Focused on reliability and correctness improvements in the GPT-based sub-network reset path of whittle. Implemented a targeted fix to rope cache handling to ensure proper invalidation and rebuilding when the sub-network rope dimensionality changes, preventing stale or inconsistent cache usage after resets.
1 Commits
Jan 1, 2025January 2025 monthly summary: Focused on reliability and correctness improvements in the GPT-based sub-network reset path of whittle. Implemented a targeted fix to rope cache handling to ensure proper invalidation and rebuilding when the sub-network rope dimensionality changes, preventing stale or inconsistent cache usage after resets.
January 2025
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for whittle: delivered a key usability improvement for sub-network extraction, focusing on making GPT sub-network extraction more reliable and developer-friendly.
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for whittle: delivered a key usability improvement for sub-network extraction, focusing on making GPT sub-network extraction more reliable and developer-friendly.
November 2024
1 Commits
Nov 1, 2024Month 2024-11: Internal stability and maintainability improvements in the GPT model cache management within whittle. This month focused on decoupling rope_cache manipulation from the max_seq_len setter and refining sequence-length updates to improve cache indexing reliability.
1 Commits
Nov 1, 2024Month 2024-11: Internal stability and maintainability improvements in the GPT model cache management within whittle. This month focused on decoupling rope_cache manipulation from the max_seq_len setter and refining sequence-length updates to improve cache indexing reliability.
November 2024
Activity
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Quality Metrics
Correctness87.6%
Maintainability80.0%
Architecture83.8%
Performance75.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JinjaJupyter NotebookPython
Technical Skills
Code RefactoringDebuggingDeep LearningHyperparameter OptimizationLoRAMachine LearningModel CheckpointingModel EvaluationModel ExtractionModel OptimizationPyTorchSearch AlgorithmsSoftware DevelopmentSoftware EngineeringTesting
Repositories Contributed To
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