NVIDIA/Model-Optimizer
- Total stars
- 5,603
- Today
- +2since 00:12 UTC
More actions
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.
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About the project
NVIDIA library for compressing and accelerating models: quantization, pruning, distillation, NAS and speculative decoding with export to TensorRT-LLM, vLLM, SGLang. For ML engineers preparing models for deployment.
Useful for
- Quantize an LLM to FP8 or NVFP4 to speed up vLLM inference
- Compress a model via pruning and distillation while keeping quality
- Export an optimized checkpoint to TensorRT-LLM or SGLang
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate. Read the original README →
Star growth looks organic. Data as of November 14, 2026, 11:22 UTC.
The star-growth assessment does not verify whether the project is safe to run.
Stars per day
Bars show stars per UTC day; the line is a moving average of available history. Gaps mean missing data, not zero growth. Today's bar is incomplete. Red marks spike days.
Why it’s trending
- Star-counter measurements on 2026-11-14 (UTC), 00:12–11:20: 5601 → 5603 stars (+2). This is the change over that interval.
- Estimated end-of-day forecast: about +5 stars, using observed gains and the previous day.
Measured growth: the last 7 completed days
New stars over 7 days: 56. -31% versus the preceding 7 days.
Daily measurements · UTC
- November 7, 2026
- 7
- November 8, 2026
- 8
- November 9, 2026
- 16
- November 10, 2026
- 7
- November 11, 2026
- 7
- November 12, 2026
- 5
- November 13, 2026
- 6
Largest measured day in the last 30 days: 22 · November 4, 2026. Days with data: 30.
Completed days come from GitHub star history; today and forecasts are excluded from this comparison. History checked: November 14, 2026, 11:22 UTC. Sources and measurement limits →
Three GitHub discoveries in each edition
What they do, why they are gaining interest, and what to check before using them.
Editions at 10:00, 16:00, 22:00 MSK.
Numbers
- Total stars
- 5,603
- Today
- +2 stars measured 2026-11-14, 00:12–11:20 UTC, ≈ 5 by evening
- Forks
- 807
- Issues and pull requests
- 3,323
- Watchers
- 33
- Language
- Python
- License
- Apache-2.0
- Latest release
- 0.47.1 · November 6, 2026
- Created
- April 23, 2024
- Last push
- November 14, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- November 6, 2026GitHub Trending Python today: #7, +20 stars
- November 5, 2026GitHub Trending Python today: #7, +20 stars
- September 28, 2026GitHub Trending Python today: #4, +276 stars
- September 27, 2026GitHub Trending today: #3, +301 stars; GitHub Trending Python today: #2, +301 stars
- September 26, 2026GitHub Trending today: #3, +354 stars; GitHub Trending Python today: #2, +354 stars
- September 25, 2026GitHub Trending today: #5, +360 stars; GitHub Trending Python today: #3, +360 stars
- September 24, 2026GitHub Trending today: #5, +22 stars; GitHub Trending Python today: #3, +22 stars