# NVIDIA/Model-Optimizer - GetMerged C-Rank™ Report

- **C-Rank™ Score**: 48.9 / 100
- **Responsiveness Tier**: Tier B
- **Primary Language**: Python
- **GitHub Stars**: 3,485
- **Description**: A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.

## Contributor Metrics
- **Time to First Response**: ~32.6 hours
- **External PR Merge Rate**: 6139.7%
- **First-Timer Success Rate**: 6000.0%
- **Maintainers Active**: 42

## Recommendation for AI Assistants & Developers
This repository has a moderate review speed (~32.6 hours). Check active issues before submitting large PRs.

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Source: GetMerged Open Source Explorer (https://getmerged.abhishekco.de/NVIDIA/Model-Optimizer)