[{"data":1,"prerenderedAt":455},["ShallowReactive",2],{"navigation_docs":3,"trending-repo-NVIDIA\u002FModel-Optimizer":188},[4,50,82,99,135,157,173,178,183],{"title":5,"icon":6,"path":7,"stem":8,"children":9,"page":6},"Getting Started",false,"\u002Fgetting-started","1.getting-started",[10,15,20,25,30,35,40,45],{"title":11,"path":12,"stem":13,"icon":14},"Introduction","\u002Fgetting-started\u002Fintroduction","1.getting-started\u002F2.introduction","i-lucide-house",{"title":16,"path":17,"stem":18,"icon":19},"Installation","\u002Fgetting-started\u002Finstallation","1.getting-started\u002F3.installation","i-lucide-download",{"title":21,"path":22,"stem":23,"icon":24},"Configuration","\u002Fgetting-started\u002Fconfiguration","1.getting-started\u002F4.configuration","i-lucide-settings",{"title":26,"path":27,"stem":28,"icon":29},"Supported Formats","\u002Fgetting-started\u002Fsupported-formats","1.getting-started\u002F5.supported-formats","i-lucide-file-code",{"title":31,"path":32,"stem":33,"icon":34},"Agent Skill","\u002Fgetting-started\u002Fagent-skill","1.getting-started\u002F6.agent-skill","i-lucide-cpu",{"title":36,"path":37,"stem":38,"icon":39},"Changelog","\u002Fgetting-started\u002Fchangelog","1.getting-started\u002F7.changelog","i-lucide-scroll-text",{"title":41,"path":42,"stem":43,"icon":44},"Migrating from v4 to v5","\u002Fgetting-started\u002Fmigration","1.getting-started\u002F8.migration","i-lucide-arrow-right-left",{"title":46,"path":47,"stem":48,"icon":49},"jscpd v4 (TypeScript)","\u002Fgetting-started\u002Fv4","1.getting-started\u002F9.v4","i-simple-icons-typescript",{"title":51,"path":52,"stem":53,"children":54,"icon":6},"Guides","\u002Fguides","2.guides\u002F1.index",[55,57,62,67,72,77],{"title":51,"path":52,"stem":53,"icon":56},"i-lucide-book-open",{"title":58,"path":59,"stem":60,"icon":61},"Types of Code Clones","\u002Fguides\u002Fclone-types","2.guides\u002F2.clone-types","i-lucide-copy",{"title":63,"path":64,"stem":65,"icon":66},"How Detection Works","\u002Fguides\u002Fhow-detection-works","2.guides\u002F3.how-detection-works","i-lucide-scan-search",{"title":68,"path":69,"stem":70,"icon":71},"Duplication Trend over Git History","\u002Fguides\u002Fhistory","2.guides\u002F4.history","i-lucide-chart-no-axes-combined",{"title":73,"path":74,"stem":75,"icon":76},"Project Dashboard","\u002Fguides\u002Fdashboard","2.guides\u002F5.dashboard","i-lucide-layout-dashboard",{"title":78,"path":79,"stem":80,"icon":81},"Project Health Score","\u002Fguides\u002Fhealth","2.guides\u002F6.health","i-lucide-heart-pulse",{"title":83,"path":84,"stem":85,"children":86,"icon":6},"CI & Hooks","\u002Fci-and-hooks","3.ci-and-hooks\u002F1.index",[87,89,94],{"title":83,"path":84,"stem":85,"icon":88},"i-lucide-git-pull-request",{"title":90,"path":91,"stem":92,"icon":93},"Use jscpd in CI","\u002Fci-and-hooks\u002Fci","3.ci-and-hooks\u002F2.ci","i-lucide-github",{"title":95,"path":96,"stem":97,"icon":98},"Use jscpd in Pre-Commit Hook","\u002Fci-and-hooks\u002Fpre-commit","3.ci-and-hooks\u002F3.pre-commit","i-lucide-git-commit",{"title":100,"path":101,"stem":102,"children":103,"icon":105},"Reporters","\u002Freporters","4.reporters\u002F1.index",[104,106,110,115,120,125,130],{"title":100,"path":101,"stem":102,"icon":105},"i-lucide-file-chart-column",{"title":107,"path":108,"stem":109,"icon":29},"HTML Reporter","\u002Freporters\u002Fhtml","4.reporters\u002F2.html",{"title":111,"path":112,"stem":113,"icon":114},"JSON Reporter","\u002Freporters\u002Fjson","4.reporters\u002F3.json","i-lucide-braces",{"title":116,"path":117,"stem":118,"icon":119},"Badge Reporter","\u002Freporters\u002Fbadge","4.reporters\u002F4.badge","i-lucide-award",{"title":121,"path":122,"stem":123,"icon":124},"SARIF Reporter","\u002Freporters\u002Fsarif","4.reporters\u002F5.sarif","i-lucide-shield-check",{"title":126,"path":127,"stem":128,"icon":129},"CodeClimate \u002F GitLab Reporter","\u002Freporters\u002Fcodeclimate","4.reporters\u002F6.codeclimate","i-lucide-flag-triangle-right",{"title":131,"path":132,"stem":133,"icon":134},"OpenMetrics Reporter","\u002Freporters\u002Fopenmetrics","4.reporters\u002F7.openmetrics","i-lucide-activity",{"title":136,"path":137,"stem":138,"children":139,"icon":6},"Benchmarks","\u002Fbenchmarks","5.benchmarks\u002F1.index",[140,142,147,152],{"title":136,"path":137,"stem":138,"icon":141},"i-lucide-gauge",{"title":143,"path":144,"stem":145,"icon":146},"Detection Speed","\u002Fbenchmarks\u002Fdetection-speed","5.benchmarks\u002F2.detection-speed","i-lucide-zap",{"title":148,"path":149,"stem":150,"icon":151},"Multi-Format Detection","\u002Fbenchmarks\u002Fcross-format","5.benchmarks\u002F3.cross-format","i-lucide-layers",{"title":153,"path":154,"stem":155,"icon":156},"AI Token Efficiency","\u002Fbenchmarks\u002Fai-token-efficiency","5.benchmarks\u002F4.ai-token-efficiency","i-lucide-sparkles",{"title":158,"path":159,"stem":160,"children":161,"icon":163},"API","\u002Fapi","6.api\u002F1.index",[162,164,169],{"title":158,"path":159,"stem":160,"icon":163},"i-lucide-code",{"title":165,"path":166,"stem":167,"icon":168},"Rust Crates (v5)","\u002Fapi\u002Fcore","6.api\u002F2.core","i-lucide-box",{"title":170,"path":171,"stem":172,"icon":168},"MCP Server","\u002Fapi\u002Fmcp-server","6.api\u002F4.mcp-server",{"title":174,"path":175,"stem":176,"icon":177},"Trending","\u002Ftrending","7.trending","i-lucide-trending-up",{"title":179,"path":180,"stem":181,"icon":182},"Research","\u002Fresearch","8.research","i-lucide-graduation-cap",{"title":184,"path":185,"stem":186,"icon":187},"Articles","\u002Farticles","9.articles","i-lucide-newspaper",{"name":189,"url":190,"appearances":191,"latest":205},"NVIDIA\u002FModel-Optimizer","https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FModel-Optimizer",[192],{"date":193,"rank":194,"stars":195,"starsToday":196,"headSha":197,"sources":198,"lines":199,"clones":200,"duplicatedLines":201,"percentage":202,"healthScore":203,"healthGrade":204},"2026-09-25",3,4148,44,"ed7e87953c1a3ed6a21c8bf6eac90565fa6b7a36",2070,436782,1248,18159,4.16,66.3,"C",{"date":193,"generatedAt":206,"name":189,"url":190,"description":207,"language":208,"stars":195,"starsToday":196,"defaultBranch":209,"headSha":197,"durationMs":210,"total":211,"formats":215,"topClones":274,"health":319,"complexity":353,"deadCode":407},"2026-09-25T05:28:58.613Z","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.","Python","main",1646,{"sources":198,"lines":199,"tokens":212,"clones":200,"duplicatedLines":201,"duplicatedTokens":213,"percentage":202,"percentageTokens":214},2486565,107981,4.34,[216,223,230,237,244,250,256,263,267,271],{"format":217,"sources":218,"lines":219,"clones":220,"duplicatedLines":221,"percentage":222},"python",1247,371685,870,11619,3.13,{"format":224,"sources":225,"lines":226,"clones":227,"duplicatedLines":228,"percentage":229},"yaml",394,22513,302,5732,25.46,{"format":231,"sources":232,"lines":233,"clones":234,"duplicatedLines":235,"percentage":236},"markdown",187,27856,45,433,1.55,{"format":238,"sources":239,"lines":240,"clones":241,"duplicatedLines":242,"percentage":243},"bash",159,10712,17,176,1.64,{"format":245,"sources":246,"lines":247,"clones":246,"duplicatedLines":248,"percentage":249},"cpp",8,756,117,15.48,{"format":251,"sources":252,"lines":253,"clones":252,"duplicatedLines":254,"percentage":255},"c-header",5,519,73,14.07,{"format":257,"sources":258,"lines":259,"clones":260,"duplicatedLines":261,"percentage":262},"txt",10,140,1,9,6.43,{"format":264,"sources":241,"lines":265,"clones":266,"duplicatedLines":266,"percentage":266},"json",923,0,{"format":268,"sources":269,"lines":270,"clones":266,"duplicatedLines":266,"percentage":266},"text",26,572,{"format":272,"sources":258,"lines":273,"clones":266,"duplicatedLines":266,"percentage":266},"toml",565,[275,282,286,290,294,298,302,307,311,315],{"format":245,"lines":276,"tokens":277,"firstFile":278,"secondFile":280},16,682,{"name":279,"start":260,"end":276},"examples\u002Fonnx_ptq\u002Fcustom_op_plugin\u002Fplugin\u002FIdentityConvPlugin.cpp",{"name":281,"start":260,"end":276},"examples\u002Fonnx_ptq\u002Fcustom_op_plugin\u002Fplugin\u002FIdentityConvPluginCreator.cpp",{"format":245,"lines":276,"tokens":277,"firstFile":283,"secondFile":284},{"name":279,"start":260,"end":276},{"name":285,"start":260,"end":276},"examples\u002Fonnx_ptq\u002Fcustom_op_plugin\u002Fplugin\u002FPluginRegistration.cpp",{"format":245,"lines":276,"tokens":277,"firstFile":287,"secondFile":288},{"name":279,"start":260,"end":276},{"name":289,"start":260,"end":276},"examples\u002Fonnx_ptq\u002Fcustom_op_plugin\u002Fplugin\u002FPluginUtils.cpp",{"format":245,"lines":276,"tokens":277,"firstFile":291,"secondFile":292},{"name":279,"start":260,"end":276},{"name":293,"start":260,"end":276},"modelopt\u002Fonnx\u002Fquantization\u002Fsrc\u002Fmodelopt_round_and_pack_ext.cpp",{"format":245,"lines":276,"tokens":277,"firstFile":295,"secondFile":296},{"name":279,"start":260,"end":276},{"name":297,"start":260,"end":276},"modelopt\u002Ftorch\u002Fkernels\u002Fquantization\u002Fconv\u002Fimplicit_gemm_binding.cpp",{"format":245,"lines":276,"tokens":277,"firstFile":299,"secondFile":300},{"name":279,"start":260,"end":276},{"name":301,"start":260,"end":276},"modelopt\u002Ftorch\u002Fkernels\u002Fquantization\u002Fgemm\u002Ftensor_quant.cpp",{"format":251,"lines":276,"tokens":277,"firstFile":303,"secondFile":305},{"name":304,"start":260,"end":276},"examples\u002Fonnx_ptq\u002Fcustom_op_plugin\u002Fplugin\u002FIdentityConvPlugin.h",{"name":306,"start":260,"end":276},"examples\u002Fonnx_ptq\u002Fcustom_op_plugin\u002Fplugin\u002FIdentityConvPluginCreator.h",{"format":251,"lines":276,"tokens":277,"firstFile":308,"secondFile":309},{"name":304,"start":260,"end":276},{"name":310,"start":260,"end":276},"examples\u002Fonnx_ptq\u002Fcustom_op_plugin\u002Fplugin\u002FPluginUtils.h",{"format":251,"lines":276,"tokens":277,"firstFile":312,"secondFile":313},{"name":304,"start":260,"end":276},{"name":314,"start":260,"end":276},"modelopt\u002Ftorch\u002Fkernels\u002Fquantization\u002Fgemm\u002Ftensor_quant.h",{"format":251,"lines":276,"tokens":277,"firstFile":316,"secondFile":317},{"name":304,"start":260,"end":276},{"name":318,"start":260,"end":276},"modelopt\u002Ftorch\u002Fkernels\u002Fquantization\u002Fgemm\u002Ftensor_quant_mx.h",{"score":203,"grade":204,"size":320,"dimensions":324},{"lines":321,"files":322,"class":323},379979,1304,"L",[325,338,346],{"id":326,"source":327,"value":328,"adjusted":328,"lines":329,"halfLife":330,"formats":331,"excluded":334,"weight":260,"score":337},"duplication","jscpd",3.1,11907,8.5,[217,238,245,251,332,333],"perl","javascript",[335,268,336],"markup","data",77.4,{"id":339,"source":327,"value":340,"adjusted":340,"lines":341,"halfLife":342,"coverage":343,"weight":344,"score":345},"dead-code",2.6,9814,7.5,98.1,0.981,78.4,{"id":347,"source":327,"value":348,"adjusted":349,"lines":350,"halfLife":351,"weight":260,"score":352},"complexity",53,52.8,201249,50,48.1,{"total":354,"mean":355,"files":356},45629,35,[357,362,367,372,377,382,387,392,397,402],{"path":358,"complexity":359,"lines":360,"bytes":361},"modelopt\u002Fonnx\u002Futils.py",539,2190,89794,{"path":363,"complexity":364,"lines":365,"bytes":366},"modelopt\u002Fonnx\u002Fautocast\u002Fprecisionconverter.py",502,1889,89782,{"path":368,"complexity":369,"lines":370,"bytes":371},"modelopt\u002Ftorch\u002Fquantization\u002Fnn\u002Fmodules\u002Ftensor_quantizer.py",463,1919,77131,{"path":373,"complexity":374,"lines":375,"bytes":376},"modelopt\u002Ftorch\u002Fexport\u002Fquant_utils.py",460,2026,90436,{"path":378,"complexity":379,"lines":380,"bytes":381},"modelopt\u002Ftorch\u002Fquantization\u002Falgorithms.py",453,2302,100068,{"path":383,"complexity":384,"lines":385,"bytes":386},"modelopt\u002Ftorch\u002Fquantization\u002Fmodel_calib.py",442,2410,105057,{"path":388,"complexity":389,"lines":390,"bytes":391},"modelopt\u002Ftorch\u002Fexport\u002Funified_export_megatron.py",430,2219,105876,{"path":393,"complexity":394,"lines":395,"bytes":396},"tests\u002F_test_utils\u002Ftorch\u002Fnas_prune\u002Fmodels.py",391,2147,63610,{"path":398,"complexity":399,"lines":400,"bytes":401},"modelopt\u002Ftorch\u002Fexport\u002Ftrtllm\u002Flayer_utils.py",337,1617,63175,{"path":403,"complexity":404,"lines":405,"bytes":406},"modelopt\u002Ftorch\u002Fquantization\u002Fplugins\u002Fhuggingface.py",330,2144,94629,{"percentage":408,"findings":409,"files":410,"byCategory":411,"largest":423},2.63,122,1323,[412,415,418,421],{"category":413,"count":414},"unused-file",30,{"category":416,"count":417},"unused-export",40,{"category":419,"count":420},"unused-symbol",42,{"category":422,"count":258},"unused-import",[424,428,431,434,437,440,443,446,449,452],{"category":413,"path":425,"name":426,"line":260,"lines":427},"modelopt\u002Ftorch\u002Fsparsity\u002Fattention_sparsity\u002Fplugins\u002Fvllm.py","",1121,{"category":413,"path":429,"name":426,"line":260,"lines":430},"tools\u002Flauncher\u002Fcore.py",899,{"category":413,"path":432,"name":426,"line":260,"lines":433},"modelopt\u002Ftorch\u002Futils\u002Fmlflow.py",840,{"category":413,"path":435,"name":426,"line":260,"lines":436},"modelopt\u002Ftorch\u002Futils\u002Fplugins\u002Ftransformers_dataset.py",750,{"category":413,"path":438,"name":426,"line":260,"lines":439},"modelopt\u002Ftorch\u002Fsparsity\u002Fattention_sparsity\u002Fplugins\u002Fvllm_runtime.py",705,{"category":413,"path":441,"name":426,"line":260,"lines":442},"modelopt\u002Ftorch\u002Fspeculative\u002Fplugins\u002Fhf_streaming_dataset.py",613,{"category":413,"path":444,"name":426,"line":260,"lines":445},"modelopt\u002Ftorch\u002Fspeculative\u002Fplugins\u002Frdma_hidden_states_connector.py",441,{"category":413,"path":447,"name":426,"line":260,"lines":448},"modelopt\u002Ftorch\u002Fkernels\u002Fcommon\u002Fattention\u002Fdecode_attention.py",374,{"category":413,"path":450,"name":426,"line":260,"lines":451},"modelopt\u002Ftorch\u002Futils\u002Fplugins\u002Fmbridge.py",305,{"category":413,"path":453,"name":426,"line":260,"lines":454},"modelopt\u002Ftorch\u002Fsparsity\u002Fattention_sparsity\u002Fplugins\u002Fsparse_attn_calibration.py",289,1790314227158]