EvolvingLMMs-Lab/lmms-eval
Sep 2025 – Sep 2025
1 Month active
Languages Used
PythonShell
Technical Skills
Deep LearningMachine LearningModel IntegrationMultimodal AIPython DevelopmentShell Scripting
Radha Gulhane
PROFILE
Radha Gulhane
Radha Gulhane developed end-to-end support for the Gemma-3 model within the EvolvingLMMs-Lab/lmms-eval repository, expanding the framework’s evaluation capabilities to include multimodal AI and video processing. Radha’s work involved integrating the Gemma-3 model into the evaluation pipeline, enabling researchers to register and assess models seamlessly. By addressing import-related issues in the model classes, Radha improved the reliability and maintainability of the evaluation workflow. The implementation leveraged Python and shell scripting, with a focus on deep learning and model integration. This contribution provided a robust foundation for future multimodal research and enhanced interoperability across different AI models in the framework.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
358
Activity Months1
Your Network
78 peopleSame Organization
@zoom.us2
Work History
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025: Delivered Gemma-3 model support in lmms-eval, expanding evaluation capabilities and improving interoperability across models. This work enables researchers to evaluate Gemma-3 end-to-end, register models in the evaluation framework, and utilize a multimodal-capable class including video processing. Fixed import-related issues in Gemma-3 model classes to improve reliability of the evaluation pipeline and downstream analyses.
1 Commits • 1 Features
Sep 1, 2025September 2025: Delivered Gemma-3 model support in lmms-eval, expanding evaluation capabilities and improving interoperability across models. This work enables researchers to evaluate Gemma-3 end-to-end, register models in the evaluation framework, and utilize a multimodal-capable class including video processing. Fixed import-related issues in Gemma-3 model classes to improve reliability of the evaluation pipeline and downstream analyses.
September 2025
Activity
Loading activity data...
Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture90.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
PythonShell
Technical Skills
Deep LearningMachine LearningModel IntegrationMultimodal AIPython DevelopmentShell Scripting
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline