Model-Optimizer
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.
Growth we measured
47 daily star snapshots stored by whatstrending.ai, 2026-07-22 to 2026-09-22. GitHub shows today's number; this is the movement behind it.
- Ranked #1147 by stars among the 2,291 repos we snapshot, using the latest star count we recorded for each.
- Rank movement: #400 on 2026-08-23 (3,469 stars) → #398 today — up 2 places among the 678 repos we snapshotted in both windows.
- Its 7-day pace is faster than 55% of the 1,133 repos where we can currently measure one (#505).
How this is measured. whatstrending.ai stores its own daily star and fork snapshot for every repo in its trending index. Every figure above is a delta between two of those stored rows — 47 snapshots for NVIDIA/Model-Optimizer between 2026-07-22 and 2026-09-22. Our history starts 2026-06-19; we hold nothing from before that date. Nothing here is estimated, interpolated or back-filled, and days without a snapshot are simply not plotted.
Add the Trending AI Repo badge to your README
NVIDIA/Model-Optimizer is in the whatstrending.ai tracked index, so this badge already resolves. It is free, needs no account, and updates itself: the rank is recomputed from our stored daily snapshots and the image is re-fetched a few times a day. Clicking it lands on this page, which shows the star history we measured.
[](https://whatstrending.ai/repos/NVIDIA/Model-Optimizer)<a href="https://whatstrending.ai/repos/NVIDIA/Model-Optimizer"><img src="https://whatstrending.ai/badge/repo/NVIDIA/Model-Optimizer.svg" alt="Trending AI Repo"></a>We never open issues or pull requests to ask maintainers to add this. How the badge works →