Shubhamsaboo/Qwen3-Coder
Nov 2024 – Nov 2024
1 Month active
Languages Used
MarkdownPythonShell
Technical Skills
Code RefactoringData EvaluationData ProcessingDocumentationEvaluation FrameworksMachine Learning
柏枫
PROFILE
柏枫
During November 2024, Bofeng Zhu developed a SQL Evaluation Framework in the Shubhamsaboo/Qwen3-Coder repository, enabling systematic assessment of SQL generation across the Bird and Spider benchmarks. He refactored the evaluation pipeline using Python and Shell scripting to streamline data preparation, task definition, and result generation, improving maintainability and reproducibility. Bofeng also enhanced documentation by adding quantization evaluation results in markdown tables, detailing Qwen2.5-Coder-32B’s performance across languages and tasks. His work focused on code refactoring, data processing, and model evaluation, providing a robust foundation for benchmarking and supporting data-driven decisions in natural language processing and machine learning workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
2,628
Activity Months1
Your Network
286 peopleSame Organization
@alibaba-inc.com271
Work History
November 2024
3 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for Shubhamsaboo/Qwen3-Coder: Features delivered include a SQL Evaluation Framework for evaluating SQL generation across Spider and Bird benchmarks, plus data prep updates and refactoring to streamline the evaluation pipeline. Documentation updated to include quantization evaluation results in qwencoder-eval/instruct README, with markdown tables showing performance across languages and tasks for various quantized versions of Qwen2.5-Coder-32B. No major bugs fixed this month. These contributions enhance benchmarking capabilities, reproducibility, and visibility into model performance, enabling data-driven decisions and faster iteration.
3 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for Shubhamsaboo/Qwen3-Coder: Features delivered include a SQL Evaluation Framework for evaluating SQL generation across Spider and Bird benchmarks, plus data prep updates and refactoring to streamline the evaluation pipeline. Documentation updated to include quantization evaluation results in qwencoder-eval/instruct README, with markdown tables showing performance across languages and tasks for various quantized versions of Qwen2.5-Coder-32B. No major bugs fixed this month. These contributions enhance benchmarking capabilities, reproducibility, and visibility into model performance, enabling data-driven decisions and faster iteration.
November 2024
Activity
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Quality Metrics
Correctness96.6%
Maintainability93.4%
Architecture93.4%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPythonShell
Technical Skills
Code RefactoringData EvaluationData ProcessingDocumentationEvaluation FrameworksMachine LearningModel EvaluationNatural Language ProcessingSQLShell ScriptingSoftware Engineering
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