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NVIDIA/TensorRT-Model-Optimizer

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nvidia-modelopt is a unified library of state-of-the-art model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM or TensorRT to optimize inference speed.

active 2024-05-08 → 2025-12-07 (UTC)

Complete coverage27,282 / 27,285 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-24 (UTC)
Events
7.4K
Pushes
1.6K
Pull requests
273
Issues
539
Stars
1.2K
Forks
121

Activity over time

Daily event counts in the loaded window

Line chart, 579 days from 2024-05-08 to 2025-12-07. Pushes: 1,619 total, peak 44 in a day. Pull requests: 273 total, peak 9 in a day. Issues: 539 total, peak 69 in a day. Comments: 1,977 total, peak 72 in a day. Stars: 1,235 total, peak 57 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
coderabbitai[bot]70711375
kevalmorabia9764723574204
copy-pr-bot[bot]580515164
cjluo-nv290341294
realAsma2887510106
danielkorzekwa212143630
ajrasane203521527
jingyu-ml14958259
yeyu-nvidia14444350
i-riyad13943856
h-guo18133651028
codecov[bot]11900119
Edwardf0t1113351040
meenchen8013334
kaix-nv696350
riyadshairi979680060
AAnoosheh67181414
cjluo-omniml5820131
ChenhanYu5812316
shengliangxu5630117

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1,235 stars here means stars gained during the window, not the repo's star count.