GSoC proposal for Gemma model benchmarking
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This repository contains a Google Summer of Code 2025 proposal and related materials for a benchmark suite designed to evaluate Google's Gemma language models. It is targeted at researchers and practitioners interested in systematically assessing LLM performance and understanding the GSoC application process. The primary benefit is providing a reproducible framework for Gemma model evaluation and insights into a successful GSoC application.
How It Works
The benchmark suite employs a modular architecture for systematic LLM evaluation. It includes a core framework for model and dataset loading, task-specific implementations (e.g., MMLU, coding, math reasoning), efficiency evaluation modules (latency, memory), and visualization components for reporting. This approach facilitates comparison between Gemma model sizes and variants, as well as against other open models like Llama 2 and Mistral.
Quick Start & Requirements
The implementation is available at github.com/heilcheng/gemma-benchmark
. Specific installation and execution commands are not detailed in this proposal document.
Highlighted Details
Maintenance & Community
The project is associated with a successful Google Summer of Code 2025 selection for the Gemma project. Further community engagement details are not provided.
Licensing & Compatibility
Licensing information is not specified in the provided text. Compatibility for commercial or closed-source use is not addressed.
Limitations & Caveats
The primary repository linked (heilcheng/2025-GSoC-Proposal-Selected
) contains the proposal and blog post, while the actual benchmark suite implementation is in a separate repository (heilcheng/gemma-benchmark
), which is not detailed here. The proposal itself does not include setup instructions or specific technical requirements for the benchmark suite.
2 months ago
Inactive