GitHub intelligence
NVIDIA/ 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.
Observed OCT 8, 2026 · 00:08 UTC
Facts
- Language
- Python
- License
- apache-2.0
- Created
- APR 23, 2024
- Last push
- Last release
- GitHub
- NVIDIA/Model-Optimizer ↗
Measurements
- Stars
- 5,163
- Forks
- 719
- 7D change
- Collectingfrom OCT 9
- 30D change
- Collectingfrom NOV 1
- 90D change
- Collectingfrom DEC 31
- Velocity
- Collectingfrom OCT 16
- Acceleration
- Collectingfrom OCT 23
- Trajectory
- Collectingfrom OCT 16
- Trending percentile
- Collectingfrom OCT 16
Categories
Technologies
Not linked to any curated technology.
Star history
Daily history began OCT 2. The chart appears after 7 days. 1 observed day shown.
Observed days (1)
| Day | Stars | Forks |
|---|---|---|
| OCT 2 | 5,163 | 719 |