NVIDIA Model Optimizer
Apache-2.0 quantization/pruning/NAS/distill for HF → TensorRT-LLM/vLLM
Python / Python · Apache-2.0 · 5.4k
Reviewed 2026-09-26 · last push 2026-10-19 · repo checked 2026-10-19
What's Good
Apache-2.0 (NVIDIA/Model-Optimizer). Free via PyPI `nvidia-modelopt`. Composable optimize → export path for Hugging Face / PyTorch / ONNX into SGLang, TensorRT-LLM, TensorRT, or vLLM. Active NVFP4/QAD tutorials and Nemotron checkpoint recipes. ★4527 on GitHub.
The Catch
NVIDIA stack gravity (TensorRT, Megatron, CUDA) — not an agent product. Serious runs need GPU/CUDA reality; CPU toy paths will not match the blog numbers. Ecosystem pull toward NVIDIA deploy targets even though the license is open.
Verdict
Apache-2.0 model-optimization library when you compress HF/PyTorch models for TensorRT-LLM/vLLM/SGLang — skip if you wanted an agent framework.
Embed
Maintainer? Add the badge to your README. It is free, links to this review, and there is no paid version.
Markdown
[](https://stackgems.com/gems/model-optimizer)
HTML
<a href="https://stackgems.com/gems/model-optimizer"><img src="https://stackgems.com/badge/model-optimizer.svg" alt="NVIDIA Model Optimizer reviewed on Stack Gems" height="20"></a>
Related
Python →- marimoApache-2.0 reactive Python notebooks as git-friendly scripts
- SupervisionModel-agnostic computer-vision toolkit for detections, zones, and video
- HishelBSD-3 elegant HTTP caching for Python
- Data FormulatorMIT AI-powered data exploration and visualization (Microsoft)
- TileLangMIT Pythonic DSL for GPU/CPU/NPU kernels on TVM