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.
NVIDIA/Model-Optimizer has 4,985 GitHub stars. It gained +161 stars over 1 recorded day in the last 7 days (snapshots through Sep 28, 2026).
Its biggest recent day was Sep 28, 2026, with +161 stars.
It currently ranks #31396 daily, #31774 weekly, #33330 monthly by momentum on Trending Repos; its best-ever rank is #140.
Trending Repos first recorded it on May 16, 2026.
| Date | Stars gained | Total stars | Forks gained |
|---|---|---|---|
| +161 | 4,952 | +17 |