kanshan/TensorRT-LLMs
1
0
Fork 0
mirror of https://github.com/NVIDIA/TensorRT-LLM.git synced 2026-01-14 06:27:45 +08:00
Code Issues Actions 1 Packages Projects Releases Wiki Activity
464700a50a
TensorRT-LLMs/features/quantization.html
Kaiyu Xie 464700a50a Update GitHub pages in root to v1.1.0rc4
2025-09-10 06:17:44 +00:00

1085 lines
50 KiB
HTML
Raw Blame History

This file contains invisible Unicode characters

This file contains invisible Unicode characters that are indistinguishable to humans but may be processed differently by a computer. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

<!DOCTYPE html>
<html lang="en" data-content_root="../" >
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
<title>Quantization &#8212; TensorRT-LLM</title>
<script data-cfasync="false">
document.documentElement.dataset.mode = localStorage.getItem("mode") || "";
document.documentElement.dataset.theme = localStorage.getItem("theme") || "";
</script>
<!--
this give us a css class that will be invisible only if js is disabled
-->
<noscript>
<style>
.pst-js-only { display: none !important; }
</style>
</noscript>
<!-- Loaded before other Sphinx assets -->
<link href="../_static/styles/theme.css?digest=8878045cc6db502f8baf" rel="stylesheet" />
<link href="../_static/styles/pydata-sphinx-theme.css?digest=8878045cc6db502f8baf" rel="stylesheet" />
<link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=8f2a1f02" />
<link rel="stylesheet" type="text/css" href="../_static/styles/nvidia-sphinx-theme.css?v=df3ac72c" />
<link rel="stylesheet" type="text/css" href="../_static/copybutton.css?v=76b2166b" />
<link rel="stylesheet" type="text/css" href="../_static/autodoc_pydantic.css" />
<link rel="stylesheet" type="text/css" href="../_static/togglebutton.css?v=13237357" />
<link rel="stylesheet" type="text/css" href="../_static/custom.css?v=95073da6" />
<!-- So that users can add custom icons -->
<script src="../_static/scripts/fontawesome.js?digest=8878045cc6db502f8baf"></script>
<!-- Pre-loaded scripts that we'll load fully later -->
<link rel="preload" as="script" href="../_static/scripts/bootstrap.js?digest=8878045cc6db502f8baf" />
<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=8878045cc6db502f8baf" />
<script src="../_static/documentation_options.js?v=5929fcd5"></script>
<script src="../_static/doctools.js?v=9a2dae69"></script>
<script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
<script src="../_static/clipboard.min.js?v=a7894cd8"></script>
<script src="../_static/copybutton.js?v=65e89d2a"></script>
<script>let toggleHintShow = 'Click to show';</script>
<script>let toggleHintHide = 'Click to hide';</script>
<script>let toggleOpenOnPrint = 'true';</script>
<script src="../_static/togglebutton.js?v=4a39c7ea"></script>
<script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
<script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
<script>DOCUMENTATION_OPTIONS.pagename = 'features/quantization';</script>
<script>
DOCUMENTATION_OPTIONS.theme_version = '0.16.1';
DOCUMENTATION_OPTIONS.theme_switcher_json_url = './_static/switcher.json';
DOCUMENTATION_OPTIONS.theme_switcher_version_match = '1.1.0rc4';
DOCUMENTATION_OPTIONS.show_version_warning_banner =
false;
</script>
<link rel="icon" href="../_static/favicon.png"/>
<link rel="index" title="Index" href="../genindex.html" />
<link rel="search" title="Search" href="../search.html" />
<link rel="next" title="Sampling" href="sampling.html" />
<link rel="prev" title="Parallelism in TensorRT LLM" href="parallel-strategy.html" />
<meta name="viewport" content="width=device-width, initial-scale=1"/>
<meta name="docsearch:language" content="en"/>
<meta name="docsearch:version" content="1.1.0rc4" />
</head>
<body data-bs-spy="scroll" data-bs-target=".bd-toc-nav" data-offset="180" data-bs-root-margin="0px 0px -60%" data-default-mode="">
<div id="pst-skip-link" class="skip-link d-print-none"><a href="#main-content">Skip to main content</a></div>
<div id="pst-scroll-pixel-helper"></div>
<button type="button" class="btn rounded-pill" id="pst-back-to-top">
<i class="fa-solid fa-arrow-up"></i>Back to top</button>
<dialog id="pst-search-dialog">
<form class="bd-search d-flex align-items-center"
action="../search.html"
method="get">
<i class="fa-solid fa-magnifying-glass"></i>
<input type="search"
class="form-control"
name="q"
placeholder="Search the docs ..."
aria-label="Search the docs ..."
autocomplete="off"
autocorrect="off"
autocapitalize="off"
spellcheck="false"/>
<span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
</form>
</dialog>
<div class="pst-async-banner-revealer d-none">
<aside id="bd-header-version-warning" class="d-none d-print-none" aria-label="Version warning"></aside>
</div>
<header class="bd-header navbar navbar-expand-lg bd-navbar d-print-none">
<div class="bd-header__inner bd-page-width">
<button class="pst-navbar-icon sidebar-toggle primary-toggle" aria-label="Site navigation">
<span class="fa-solid fa-bars"></span>
</button>
<div class="col-lg-3 navbar-header-items__start">
<div class="navbar-item">
<a class="navbar-brand logo" href="../index.html">
<img src="../_static/nvidia-logo-horiz-rgb-blk-for-screen.svg" class="logo__image only-light" alt="TensorRT-LLM - Home"/>
<img src="../_static/nvidia-logo-horiz-rgb-wht-for-screen.svg" class="logo__image only-dark pst-js-only" alt="TensorRT-LLM - Home"/>
<p class="title logo__title">TensorRT-LLM</p>
</a></div>
</div>
<div class="col-lg-9 navbar-header-items">
<div class="me-auto navbar-header-items__center">
<div class="navbar-item">
<div class="version-switcher__container dropdown pst-js-only">
<button id="pst-version-switcher-button-2"
type="button"
class="version-switcher__button btn btn-sm dropdown-toggle"
data-bs-toggle="dropdown"
aria-haspopup="listbox"
aria-controls="pst-version-switcher-list-2"
aria-label="Version switcher list"
>
Choose version <!-- this text may get changed later by javascript -->
<span class="caret"></span>
</button>
<div id="pst-version-switcher-list-2"
class="version-switcher__menu dropdown-menu list-group-flush py-0"
role="listbox" aria-labelledby="pst-version-switcher-button-2">
<!-- dropdown will be populated by javascript on page load -->
</div>
</div></div>
</div>
<div class="navbar-header-items__end">
<div class="navbar-item navbar-persistent--container">
<button class="btn search-button-field search-button__button pst-js-only" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
<i class="fa-solid fa-magnifying-glass"></i>
<span class="search-button__default-text">Search</span>
<span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
</button>
</div>
<div class="navbar-item">
<button class="btn btn-sm nav-link pst-navbar-icon theme-switch-button pst-js-only" aria-label="Color mode" data-bs-title="Color mode" data-bs-placement="bottom" data-bs-toggle="tooltip">
<i class="theme-switch fa-solid fa-sun fa-lg" data-mode="light" title="Light"></i>
<i class="theme-switch fa-solid fa-moon fa-lg" data-mode="dark" title="Dark"></i>
<i class="theme-switch fa-solid fa-circle-half-stroke fa-lg" data-mode="auto" title="System Settings"></i>
</button></div>
</div>
</div>
<div class="navbar-persistent--mobile">
<button class="btn search-button-field search-button__button pst-js-only" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
<i class="fa-solid fa-magnifying-glass"></i>
<span class="search-button__default-text">Search</span>
<span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
</button>
</div>
<button class="pst-navbar-icon sidebar-toggle secondary-toggle" aria-label="On this page">
<span class="fa-solid fa-outdent"></span>
</button>
</div>
</header>
<div class="bd-container">
<div class="bd-container__inner bd-page-width">
<dialog id="pst-primary-sidebar-modal"></dialog>
<div id="pst-primary-sidebar" class="bd-sidebar-primary bd-sidebar">
<a class="navbar-brand logo" href="../index.html">
<img src="../_static/nvidia-logo-horiz-rgb-blk-for-screen.svg" class="logo__image only-light" alt="TensorRT-LLM - Home"/>
<img src="../_static/nvidia-logo-horiz-rgb-wht-for-screen.svg" class="logo__image only-dark pst-js-only" alt="TensorRT-LLM - Home"/>
<p class="title logo__title">TensorRT-LLM</p>
</a>
<div class="sidebar-header-items sidebar-primary__section">
<div class="sidebar-header-items__center">
<div class="navbar-item">
<div class="version-switcher__container dropdown pst-js-only">
<button id="pst-version-switcher-button-3"
type="button"
class="version-switcher__button btn btn-sm dropdown-toggle"
data-bs-toggle="dropdown"
aria-haspopup="listbox"
aria-controls="pst-version-switcher-list-3"
aria-label="Version switcher list"
>
Choose version <!-- this text may get changed later by javascript -->
<span class="caret"></span>
</button>
<div id="pst-version-switcher-list-3"
class="version-switcher__menu dropdown-menu list-group-flush py-0"
role="listbox" aria-labelledby="pst-version-switcher-button-3">
<!-- dropdown will be populated by javascript on page load -->
</div>
</div></div>
</div>
<div class="sidebar-header-items__end">
<div class="navbar-item">
<button class="btn btn-sm nav-link pst-navbar-icon theme-switch-button pst-js-only" aria-label="Color mode" data-bs-title="Color mode" data-bs-placement="bottom" data-bs-toggle="tooltip">
<i class="theme-switch fa-solid fa-sun fa-lg" data-mode="light" title="Light"></i>
<i class="theme-switch fa-solid fa-moon fa-lg" data-mode="dark" title="Dark"></i>
<i class="theme-switch fa-solid fa-circle-half-stroke fa-lg" data-mode="auto" title="System Settings"></i>
</button></div>
</div>
</div>
<div class="sidebar-primary-items__start sidebar-primary__section">
<div class="sidebar-primary-item">
<nav class="bd-docs-nav bd-links"
aria-label="Table of Contents">
<p class="bd-links__title" role="heading" aria-level="1">Table of Contents</p>
<div class="bd-toc-item navbar-nav"><p aria-level="2" class="caption" role="heading"><span class="caption-text">Getting Started</span></p>
<ul class="nav bd-sidenav">
<li class="toctree-l1"><a class="reference internal" href="../overview.html">Overview</a></li>
<li class="toctree-l1"><a class="reference internal" href="../quick-start-guide.html">Quick Start Guide</a></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../installation/index.html">Installation</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="../installation/containers.html">Pre-built release container images on NGC</a></li>
<li class="toctree-l2"><a class="reference internal" href="../installation/linux.html">Installing on Linux via <code class="docutils literal notranslate"><span class="pre">pip</span></code></a></li>
<li class="toctree-l2"><a class="reference internal" href="../installation/build-from-source-linux.html">Building from Source Code on Linux</a></li>
</ul>
</details></li>
</ul>
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Deployment Guide</span></p>
<ul class="nav bd-sidenav">
<li class="toctree-l1 has-children"><a class="reference internal" href="../examples/llm_api_examples.html">LLM Examples</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_inference.html">Generate text</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_inference_async.html">Generate text asynchronously</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_inference_async_streaming.html">Generate text in streaming</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_inference_distributed.html">Distributed LLM Generation</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_guided_decoding.html">Generate text with guided decoding</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_logits_processor.html">Control generated text using logits processor</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_multilora.html">Generate text with multiple LoRA adapters</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_speculative_decoding.html">Speculative Decoding</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_kv_cache_connector.html">KV Cache Connector</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_runtime.html">Runtime Configuration Examples</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_sampling.html">Sampling Techniques Showcase</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_mgmn_llm_distributed.html">Run LLM-API with pytorch backend on Slurm</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_mgmn_trtllm_bench.html">Run trtllm-bench with pytorch backend on Slurm</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_mgmn_trtllm_serve.html">Run trtllm-serve with pytorch backend on Slurm</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../examples/trtllm_serve_examples.html">Online Serving Examples</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="../examples/curl_chat_client.html">Curl Chat Client</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/curl_chat_client_for_multimodal.html">Curl Chat Client For Multimodal</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/curl_completion_client.html">Curl Completion Client</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/deepseek_r1_reasoning_parser.html">Deepseek R1 Reasoning Parser</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/genai_perf_client.html">Genai Perf Client</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/genai_perf_client_for_multimodal.html">Genai Perf Client For Multimodal</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/openai_chat_client.html">OpenAI Chat Client</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/openai_chat_client_for_multimodal.html">OpenAI Chat Client for Multimodal</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/openai_completion_client.html">OpenAI Completion Client</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/openai_completion_client_for_lora.html">Openai Completion Client For Lora</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/openai_completion_client_json_schema.html">OpenAI Completion Client with JSON Schema</a></li>
</ul>
</details></li>
<li class="toctree-l1"><a class="reference internal" href="../examples/dynamo_k8s_example.html">Dynamo K8s Example</a></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../deployment-guide/index.html">Model Recipes</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="../deployment-guide/quick-start-recipe-for-deepseek-r1-on-trtllm.html">Quick Start Recipe for DeepSeek R1 on TensorRT LLM - Blackwell &amp; Hopper Hardware</a></li>
<li class="toctree-l2"><a class="reference internal" href="../deployment-guide/quick-start-recipe-for-llama3.3-70b-on-trtllm.html">Quick Start Recipe for Llama3.3 70B on TensorRT LLM - Blackwell &amp; Hopper Hardware</a></li>
<li class="toctree-l2"><a class="reference internal" href="../deployment-guide/quick-start-recipe-for-llama4-scout-on-trtllm.html">Quick Start Recipe for Llama4 Scout 17B on TensorRT LLM - Blackwell &amp; Hopper Hardware</a></li>
<li class="toctree-l2"><a class="reference internal" href="../deployment-guide/quick-start-recipe-for-gpt-oss-on-trtllm.html">Quick Start Recipe for GPT-OSS on TensorRT-LLM - Blackwell Hardware</a></li>
</ul>
</details></li>
</ul>
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Models</span></p>
<ul class="nav bd-sidenav">
<li class="toctree-l1"><a class="reference internal" href="../models/supported-models.html">Supported Models</a></li>
<li class="toctree-l1"><a class="reference internal" href="../models/adding-new-model.html">Adding a New Model</a></li>
</ul>
<p aria-level="2" class="caption" role="heading"><span class="caption-text">CLI Reference</span></p>
<ul class="nav bd-sidenav">
<li class="toctree-l1"><a class="reference internal" href="../commands/trtllm-bench.html">trtllm-bench</a></li>
<li class="toctree-l1"><a class="reference internal" href="../commands/trtllm-eval.html">trtllm-eval</a></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../commands/trtllm-serve/index.html">trtllm-serve</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="../commands/trtllm-serve/trtllm-serve.html">trtllm-serve</a></li>
<li class="toctree-l2"><a class="reference internal" href="../commands/trtllm-serve/run-benchmark-with-trtllm-serve.html">Run benchmarking with <code class="docutils literal notranslate"><span class="pre">trtllm-serve</span></code></a></li>
</ul>
</details></li>
</ul>
<p aria-level="2" class="caption" role="heading"><span class="caption-text">API Reference</span></p>
<ul class="nav bd-sidenav">
<li class="toctree-l1"><a class="reference internal" href="../llm-api/index.html">LLM API Introduction</a></li>
<li class="toctree-l1"><a class="reference internal" href="../llm-api/reference.html">API Reference</a></li>
</ul>
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Features</span></p>
<ul class="current nav bd-sidenav">
<li class="toctree-l1"><a class="reference internal" href="feature-combination-matrix.html">Feature Combination Matrix</a></li>
<li class="toctree-l1"><a class="reference internal" href="attention.html">Multi-Head, Multi-Query, and Group-Query Attention</a></li>
<li class="toctree-l1"><a class="reference internal" href="disagg-serving.html">Disaggregated Serving (Beta)</a></li>
<li class="toctree-l1"><a class="reference internal" href="kvcache.html">KV Cache System</a></li>
<li class="toctree-l1"><a class="reference internal" href="long-sequence.html">Long Sequences</a></li>
<li class="toctree-l1"><a class="reference internal" href="lora.html">LoRA (Low-Rank Adaptation)</a></li>
<li class="toctree-l1"><a class="reference internal" href="multi-modality.html">Multimodal Support in TensorRT LLM</a></li>
<li class="toctree-l1"><a class="reference internal" href="overlap-scheduler.html">Overlap Scheduler</a></li>
<li class="toctree-l1"><a class="reference internal" href="paged-attention-ifb-scheduler.html">Paged Attention, IFB, and Request Scheduling</a></li>
<li class="toctree-l1"><a class="reference internal" href="parallel-strategy.html">Parallelism in TensorRT LLM</a></li>
<li class="toctree-l1 current active"><a class="current reference internal" href="#">Quantization</a></li>
<li class="toctree-l1"><a class="reference internal" href="sampling.html">Sampling</a></li>
<li class="toctree-l1"><a class="reference internal" href="speculative-decoding.html">Speculative Decoding</a></li>
<li class="toctree-l1"><a class="reference internal" href="checkpoint-loading.html">Checkpoint Loading</a></li>
<li class="toctree-l1"><a class="reference internal" href="auto_deploy/auto-deploy.html">AutoDeploy (Prototype)</a></li>
</ul>
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Developer Guide</span></p>
<ul class="nav bd-sidenav">
<li class="toctree-l1"><a class="reference internal" href="../architecture/overview.html">Architecture Overview</a></li>
<li class="toctree-l1"><a class="reference internal" href="../developer-guide/perf-analysis.html">Performance Analysis</a></li>
<li class="toctree-l1"><a class="reference internal" href="../developer-guide/perf-benchmarking.html">TensorRT LLM Benchmarking</a></li>
<li class="toctree-l1"><a class="reference internal" href="../developer-guide/ci-overview.html">Continuous Integration Overview</a></li>
<li class="toctree-l1"><a class="reference internal" href="../developer-guide/dev-containers.html">Using Dev Containers</a></li>
</ul>
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Blogs</span></p>
<ul class="nav bd-sidenav">
<li class="toctree-l1"><a class="reference internal" href="../blogs/tech_blog/blog10_ADP_Balance_Strategy.html">ADP Balance Strategy</a></li>
<li class="toctree-l1"><a class="reference internal" href="../blogs/tech_blog/blog11_GPT_OSS_Eagle3.html">Running GPT-OSS-120B with Eagle3 Speculative Decoding on GB200/B200 (TensorRT LLM)</a></li>
<li class="toctree-l1"><a class="reference internal" href="../blogs/tech_blog/blog1_Pushing_Latency_Boundaries_Optimizing_DeepSeek-R1_Performance_on_NVIDIA_B200_GPUs.html">Pushing Latency Boundaries: Optimizing DeepSeek-R1 Performance on NVIDIA B200 GPUs</a></li>
<li class="toctree-l1"><a class="reference internal" href="../blogs/tech_blog/blog2_DeepSeek_R1_MTP_Implementation_and_Optimization.html">DeepSeek R1 MTP Implementation and Optimization</a></li>
<li class="toctree-l1"><a class="reference internal" href="../blogs/tech_blog/blog3_Optimizing_DeepSeek_R1_Throughput_on_NVIDIA_Blackwell_GPUs.html">Optimizing DeepSeek R1 Throughput on NVIDIA Blackwell GPUs: A Deep Dive for Developers</a></li>
<li class="toctree-l1"><a class="reference internal" href="../blogs/tech_blog/blog4_Scaling_Expert_Parallelism_in_TensorRT-LLM.html">Scaling Expert Parallelism in TensorRT LLM (Part 1: Design and Implementation of Large-scale EP)</a></li>
<li class="toctree-l1"><a class="reference internal" href="../blogs/tech_blog/blog5_Disaggregated_Serving_in_TensorRT-LLM.html">Disaggregated Serving in TensorRT LLM</a></li>
<li class="toctree-l1"><a class="reference internal" href="../blogs/tech_blog/blog6_Llama4_maverick_eagle_guide.html">How to launch Llama4 Maverick + Eagle3 TensorRT LLM server</a></li>
<li class="toctree-l1"><a class="reference internal" href="../blogs/tech_blog/blog7_NGram_performance_Analysis_And_Auto_Enablement.html">N-Gram Speculative Decoding in TensorRT LLM</a></li>
<li class="toctree-l1"><a class="reference internal" href="../blogs/tech_blog/blog8_Scaling_Expert_Parallelism_in_TensorRT-LLM_part2.html">Scaling Expert Parallelism in TensorRT LLM (Part 2: Performance Status and Optimization)</a></li>
<li class="toctree-l1"><a class="reference internal" href="../blogs/tech_blog/blog9_Deploying_GPT_OSS_on_TRTLLM.html">Running a High Performance GPT-OSS-120B Inference Server with TensorRT LLM</a></li>
<li class="toctree-l1"><a class="reference internal" href="../blogs/Best_perf_practice_on_DeepSeek-R1_in_TensorRT-LLM.html">How to get best performance on DeepSeek-R1 in TensorRT LLM</a></li>
<li class="toctree-l1"><a class="reference internal" href="../blogs/H200launch.html">H200 achieves nearly 12,000 tokens/sec on Llama2-13B with TensorRT LLM</a></li>
<li class="toctree-l1"><a class="reference internal" href="../blogs/XQA-kernel.html">New XQA-kernel provides 2.4x more Llama-70B throughput within the same latency budget</a></li>
<li class="toctree-l1"><a class="reference internal" href="../blogs/H100vsA100.html">H100 has 4.6x A100 Performance in TensorRT LLM, achieving 10,000 tok/s at 100ms to first token</a></li>
</ul>
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Quick Links</span></p>
<ul class="nav bd-sidenav">
<li class="toctree-l1"><a class="reference external" href="https://github.com/NVIDIA/TensorRT-LLM/releases">Releases</a></li>
<li class="toctree-l1"><a class="reference external" href="https://github.com/NVIDIA/TensorRT-LLM">Github Code</a></li>
<li class="toctree-l1"><a class="reference external" href="https://github.com/NVIDIA/TensorRT-LLM/issues?q=is%3Aissue%20state%3Aopen%20label%3Aroadmap">Roadmap</a></li>
</ul>
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Use TensorRT Engine</span></p>
<ul class="nav bd-sidenav">
<li class="toctree-l1"><a class="reference internal" href="../legacy/tensorrt_quickstart.html">LLM API with TensorRT Engine</a></li>
</ul>
</div>
</nav></div>
</div>
<div class="sidebar-primary-items__end sidebar-primary__section">
</div>
</div>
<main id="main-content" class="bd-main" role="main">
<div class="bd-content">
<div class="bd-article-container">
<div class="bd-header-article d-print-none">
<div class="header-article-items header-article__inner">
<div class="header-article-items__start">
<div class="header-article-item">
<nav aria-label="Breadcrumb" class="d-print-none">
<ul class="bd-breadcrumbs">
<li class="breadcrumb-item breadcrumb-home">
<a href="../index.html" class="nav-link" aria-label="Home">
<i class="fa-solid fa-home"></i>
</a>
</li>
<li class="breadcrumb-item active" aria-current="page"><span class="ellipsis">Quantization</span></li>
</ul>
</nav>
</div>
</div>
</div>
</div>
<div id="searchbox"></div>
<article class="bd-article">
<section id="quantization">
<h1>Quantization<a class="headerlink" href="#quantization" title="Link to this heading">#</a></h1>
<section id="quantization-in-tensorrt-llm">
<h2>Quantization in TensorRT LLM<a class="headerlink" href="#quantization-in-tensorrt-llm" title="Link to this heading">#</a></h2>
<p>Quantization is a technique used to reduces memory footprint and computational cost by converting the model’s weights and/or activations from high-precision floating-point numbers (like BF16) to lower-precision data types, such as INT8, FP8, or FP4.</p>
<p>TensorRT LLM offers a variety of quantization recipes to optimize LLM inference. These recipes can be broadly categorized as follows:</p>
<ul class="simple">
<li><p>FP4</p></li>
<li><p>FP8 Per Tensor</p></li>
<li><p>FP8 Block Scaling</p></li>
<li><p>FP8 Rowwise</p></li>
<li><p>FP8 KV Cache</p></li>
<li><p>W4A16 GPTQ</p></li>
<li><p>W4A8 GPTQ</p></li>
<li><p>W4A16 AWQ</p></li>
<li><p>W4A8 AWQ</p></li>
</ul>
</section>
<section id="usage">
<h2>Usage<a class="headerlink" href="#usage" title="Link to this heading">#</a></h2>
<p>The default PyTorch backend supports FP4 and FP8 quantization on the latest Blackwell and Hopper GPUs.</p>
<section id="running-pre-quantized-models">
<h3>Running Pre-quantized Models<a class="headerlink" href="#running-pre-quantized-models" title="Link to this heading">#</a></h3>
<p>TensorRT LLM can directly run <a class="reference external" href="https://huggingface.co/collections/nvidia/model-optimizer-66aa84f7966b3150262481a4">pre-quantized models</a> generated with the <a class="reference external" href="https://github.com/NVIDIA/TensorRT-Model-Optimizer">NVIDIA TensorRT Model Optimizer</a>.</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">tensorrt_llm</span><span class="w"> </span><span class="kn">import</span> <span class="n">LLM</span>
<span class="n">llm</span> <span class="o">=</span> <span class="n">LLM</span><span class="p">(</span><span class="n">model</span><span class="o">=</span><span class="s1">&#39;nvidia/Llama-3.1-8B-Instruct-FP8&#39;</span><span class="p">)</span>
<span class="n">llm</span><span class="o">.</span><span class="n">generate</span><span class="p">(</span><span class="s2">&quot;Hello, my name is&quot;</span><span class="p">)</span>
</pre></div>
</div>
<section id="fp8-kv-cache">
<h4>FP8 KV Cache<a class="headerlink" href="#fp8-kv-cache" title="Link to this heading">#</a></h4>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>TensorRT LLM allows you to enable the FP8 KV cache manually, even for checkpoints that do not have it enabled by default.</p>
</div>
<p>Here is an example of how to set the FP8 KV Cache option:</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">tensorrt_llm</span><span class="w"> </span><span class="kn">import</span> <span class="n">LLM</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">tensorrt_llm.llmapi</span><span class="w"> </span><span class="kn">import</span> <span class="n">KvCacheConfig</span>
<span class="n">llm</span> <span class="o">=</span> <span class="n">LLM</span><span class="p">(</span><span class="n">model</span><span class="o">=</span><span class="s1">&#39;/path/to/model&#39;</span><span class="p">,</span>
<span class="n">kv_cache_config</span><span class="o">=</span><span class="n">KvCacheConfig</span><span class="p">(</span><span class="n">dtype</span><span class="o">=</span><span class="s1">&#39;fp8&#39;</span><span class="p">))</span>
<span class="n">llm</span><span class="o">.</span><span class="n">generate</span><span class="p">(</span><span class="s2">&quot;Hello, my name is&quot;</span><span class="p">)</span>
</pre></div>
</div>
</section>
</section>
<section id="offline-quantization-with-modelopt">
<h3>Offline Quantization with ModelOpt<a class="headerlink" href="#offline-quantization-with-modelopt" title="Link to this heading">#</a></h3>
<p>If a pre-quantized model is not available on the <a class="reference external" href="https://huggingface.co/collections/nvidia/model-optimizer-66aa84f7966b3150262481a4">Hugging Face Hub</a>, you can quantize it offline using ModelOpt.</p>
<p>Follow this step-by-step guide to quantize a model:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>git<span class="w"> </span>clone<span class="w"> </span>https://github.com/NVIDIA/TensorRT-Model-Optimizer.git
<span class="nb">cd</span><span class="w"> </span>TensorRT-Model-Optimizer/examples/llm_ptq
scripts/huggingface_example.sh<span class="w"> </span>--model<span class="w"> </span>&lt;huggingface_model_card&gt;<span class="w"> </span>--quant<span class="w"> </span>fp8<span class="w"> </span>--export_fmt<span class="w"> </span>hf
</pre></div>
</div>
</section>
</section>
<section id="model-supported-matrix">
<h2>Model Supported Matrix<a class="headerlink" href="#model-supported-matrix" title="Link to this heading">#</a></h2>
<div class="pst-scrollable-table-container"><table class="table">
<thead>
<tr class="row-odd"><th class="head text-left"><p>Model</p></th>
<th class="head text-center"><p>NVFP4</p></th>
<th class="head text-center"><p>MXFP4</p></th>
<th class="head text-center"><p>FP8(per tensor)</p></th>
<th class="head text-center"><p>FP8(block scaling)</p></th>
<th class="head text-center"><p>FP8(rowwise)</p></th>
<th class="head text-center"><p>FP8 KV Cache</p></th>
<th class="head text-center"><p>W4A8 AWQ</p></th>
<th class="head text-center"><p>W4A16 AWQ</p></th>
<th class="head text-center"><p>W4A8 GPTQ</p></th>
<th class="head text-center"><p>W4A16 GPTQ</p></th>
</tr>
</thead>
<tbody>
<tr class="row-even"><td class="text-left"><p>BERT</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
</tr>
<tr class="row-odd"><td class="text-left"><p>DeepSeek-R1</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
</tr>
<tr class="row-even"><td class="text-left"><p>EXAONE</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
</tr>
<tr class="row-odd"><td class="text-left"><p>Gemma 3</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
</tr>
<tr class="row-even"><td class="text-left"><p>GPT-OSS</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
</tr>
<tr class="row-odd"><td class="text-left"><p>LLaMA</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
</tr>
<tr class="row-even"><td class="text-left"><p>LLaMA-v2</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
</tr>
<tr class="row-odd"><td class="text-left"><p>LLaMA 3</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
</tr>
<tr class="row-even"><td class="text-left"><p>LLaMA 4</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
</tr>
<tr class="row-odd"><td class="text-left"><p>Mistral</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
</tr>
<tr class="row-even"><td class="text-left"><p>Mixtral</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
</tr>
<tr class="row-odd"><td class="text-left"><p>Phi</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
</tr>
<tr class="row-even"><td class="text-left"><p>Qwen</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
</tr>
<tr class="row-odd"><td class="text-left"><p>Qwen-2/2.5</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
</tr>
<tr class="row-even"><td class="text-left"><p>Qwen-3</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
</tr>
<tr class="row-odd"><td class="text-left"><p>BLIP2-OPT</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
</tr>
<tr class="row-even"><td class="text-left"><p>BLIP2-T5</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
</tr>
<tr class="row-odd"><td class="text-left"><p>LLaVA</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
</tr>
<tr class="row-even"><td class="text-left"><p>VILA</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
</tr>
<tr class="row-odd"><td class="text-left"><p>Nougat</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
</tr>
</tbody>
</table>
</div>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>The vision component of multi-modal models(BLIP2-OPT/BLIP2-T5/LLaVA/VILA/Nougat) uses FP16 by default.
The language component decides which quantization methods are supported by a given multi-modal model.</p>
</div>
</section>
<section id="hardware-support-matrix">
<h2>Hardware Support Matrix<a class="headerlink" href="#hardware-support-matrix" title="Link to this heading">#</a></h2>
<div class="pst-scrollable-table-container"><table class="table">
<thead>
<tr class="row-odd"><th class="head text-left"><p>Model</p></th>
<th class="head text-center"><p>NVFP4</p></th>
<th class="head text-center"><p>MXFP4</p></th>
<th class="head text-center"><p>FP8(per tensor)</p></th>
<th class="head text-center"><p>FP8(block scaling)</p></th>
<th class="head text-center"><p>FP8(rowwise)</p></th>
<th class="head text-center"><p>FP8 KV Cache</p></th>
<th class="head text-center"><p>W4A8 AWQ</p></th>
<th class="head text-center"><p>W4A16 AWQ</p></th>
<th class="head text-center"><p>W4A8 GPTQ</p></th>
<th class="head text-center"><p>W4A16 GPTQ</p></th>
</tr>
</thead>
<tbody>
<tr class="row-even"><td class="text-left"><p>Blackwell(sm120)</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
</tr>
<tr class="row-odd"><td class="text-left"><p>Blackwell(sm100)</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
</tr>
<tr class="row-even"><td class="text-left"><p>Hopper</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>Y</p></td>
</tr>
<tr class="row-odd"><td class="text-left"><p>Ada Lovelace</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>Y</p></td>
</tr>
<tr class="row-even"><td class="text-left"><p>Ampere</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
<td class="text-center"><p>.</p></td>
<td class="text-center"><p>Y</p></td>
</tr>
</tbody>
</table>
</div>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>FP8 block wise scaling GEMM kernels for sm100 are using MXFP8 recipe (E4M3 act/weight and UE8M0 act/weight scale), which is slightly different from SM90 FP8 recipe (E4M3 act/weight and FP32 act/weight scale).</p>
</div>
</section>
<section id="quick-links">
<h2>Quick Links<a class="headerlink" href="#quick-links" title="Link to this heading">#</a></h2>
<ul class="simple">
<li><p><a class="reference external" href="https://huggingface.co/collections/nvidia/model-optimizer-66aa84f7966b3150262481a4">Pre-quantized Models by ModelOpt</a></p></li>
<li><p><a class="reference external" href="https://nvidia.github.io/TensorRT-Model-Optimizer/guides/0_support_matrix.html">ModelOpt Support Matrix</a></p></li>
</ul>
</section>
</section>
</article>
<footer class="prev-next-footer d-print-none">
<div class="prev-next-area">
<a class="left-prev"
href="parallel-strategy.html"
title="previous page">
<i class="fa-solid fa-angle-left"></i>
<div class="prev-next-info">
<p class="prev-next-subtitle">previous</p>
<p class="prev-next-title">Parallelism in TensorRT LLM</p>
</div>
</a>
<a class="right-next"
href="sampling.html"
title="next page">
<div class="prev-next-info">
<p class="prev-next-subtitle">next</p>
<p class="prev-next-title">Sampling</p>
</div>
<i class="fa-solid fa-angle-right"></i>
</a>
</div>
</footer>
</div>
<dialog id="pst-secondary-sidebar-modal"></dialog>
<div id="pst-secondary-sidebar" class="bd-sidebar-secondary bd-toc"><div class="sidebar-secondary-items sidebar-secondary__inner">
<div class="sidebar-secondary-item">
<div
id="pst-page-navigation-heading-2"
class="page-toc tocsection onthispage">
<i class="fa-solid fa-list"></i> On this page
</div>
<nav class="bd-toc-nav page-toc" aria-labelledby="pst-page-navigation-heading-2">
<ul class="visible nav section-nav flex-column">
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quantization-in-tensorrt-llm">Quantization in TensorRT LLM</a></li>
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#usage">Usage</a><ul class="nav section-nav flex-column">
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#running-pre-quantized-models">Running Pre-quantized Models</a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#fp8-kv-cache">FP8 KV Cache</a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#offline-quantization-with-modelopt">Offline Quantization with ModelOpt</a></li>
</ul>
</li>
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#model-supported-matrix">Model Supported Matrix</a></li>
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#hardware-support-matrix">Hardware Support Matrix</a></li>
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quick-links">Quick Links</a></li>
</ul>
</nav></div>
</div></div>
</div>
<footer class="bd-footer-content">
</footer>
</main>
</div>
</div>
<!-- Scripts loaded after <body> so the DOM is not blocked -->
<script defer src="../_static/scripts/bootstrap.js?digest=8878045cc6db502f8baf"></script>
<script defer src="../_static/scripts/pydata-sphinx-theme.js?digest=8878045cc6db502f8baf"></script>
<footer class="bd-footer">
<div class="bd-footer__inner bd-page-width">
<div class="footer-items__start">
<div class="footer-item">
<a class="footer-brand logo" href="https://www.nvidia.com">
<img src="../_static/nvidia-logo-horiz-rgb-1c-blk-for-screen.svg" class="logo__image only-light" alt="NVIDIA"/>
<img src="../_static/nvidia-logo-horiz-rgb-1c-wht-for-screen.svg" class="logo__image only-dark" alt="NVIDIA"/>
</a></div>
<div class="footer-item">
<div class="footer-links">
<a class="external" href="https://www.nvidia.com/en-us/about-nvidia/privacy-policy/">Privacy Policy</a>
|
<a class="external" href="https://www.nvidia.com/en-us/about-nvidia/privacy-center/">Manage My Privacy</a>
|
<a class="external" href="https://www.nvidia.com/en-us/preferences/start/">Do Not Sell or Share My Data</a>
|
<a class="external" href="https://www.nvidia.com/en-us/about-nvidia/terms-of-service/">Terms of Service</a>
|
<a class="external" href="https://www.nvidia.com/en-us/about-nvidia/accessibility/">Accessibility</a>
|
<a class="external" href="https://www.nvidia.com/en-us/about-nvidia/company-policies/">Corporate Policies</a>
|
<a class="external" href="https://www.nvidia.com/en-us/product-security/">Product Security</a>
|
<a class="external" href="https://www.nvidia.com/en-us/contact/">Contact</a>
</div>
</div>
<div class="footer-item">
<p class="copyright">
Copyright © 2025, NVidia.
<br/>
</p>
</div>
<div class="footer-item">
<div class="extra_footer">
<p>Last updated on September 09, 2025.</p>
<p>This page is generated by TensorRT-LLM commit <a href="https://github.com/NVIDIA/TensorRT-LLM/tree/62b564a">62b564a</a>.</p>
</div></div>
</div>
</div>
</footer>
</body>
</html>
Reference in New Issue View Git Blame Copy Permalink