{"library":"nvidia-modelopt-core","type":"library","category":null,"description":"The NVIDIA TensorRT Model Optimizer (ModelOpt) provides a unified toolkit for model optimization and deployment across NVIDIA GPUs, supporting quantization (PTQ, QAT), pruning, distillation, and TensorRT export. As of v0.33.1, the library is actively maintained and targets Python 3.10–3.12. Release cadence is approximately monthly.","language":"python","status":"active","version":"0.33.1","tags":["model-optimization","quantization","tensorrt","pruning","distillation"],"install":[{"cmd":"pip install nvidia-modelopt-core","imports":["from modelopt_core.torch.opt import ModelOptTorchModel"]},{"cmd":"pip install nvidia-modelopt-core[all]","imports":[]}],"homepage":"https://github.com/NVIDIA/TensorRT-Model-Optimizer","github":"https://github.com/NVIDIA/TensorRT-Model-Optimizer","docs":null,"changelog":null,"pypi":null,"npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null,"provenance":{"verified_status":"import_fail","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Fri Jul 10","install_tag":null}}