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[site] Add hero section
1 parent 14bec5a commit 9905667

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-6
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site/.gitignore

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llm-chat-config.json
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_includes/stable_diffusion.html
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_site
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.jekyll-cache

site/Gemfile

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# frozen_string_literal: true
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source "https://rubygems.org"
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# gem "rails"
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gem "jekyll-remote-theme"
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gem "jekyll-sass-converter"

site/_includes/arrow.svg

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site/_includes/github.svg

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site/_includes/head.html

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<meta name="description" content="WebLLM: High-Performance In-Browser LLM Inference Engine">
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<meta
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http-equiv="origin-trial"
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content="Agx76XA0ITxMPF0Z8rbbcMllwuxsyp9qdtQaXlLqu1JUrdHB6FPonuyIKJ3CsBREUkeioJck4nn3KO0c0kkwqAMAAABJeyJvcmlnaW4iOiJodHRwOi8vbG9jYWxob3N0Ojg4ODgiLCJmZWF0dXJlIjoiV2ViR1BVIiwiZXhwaXJ5IjoxNjkxNzExOTk5fQ=="
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/>
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<meta
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http-equiv="origin-trial"
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content="AnmwqQ1dtYDQTYkZ5iMtHdINCaxjE94uWQBKp2yOz1wPTcjSRtOHUGQG+r2BxsEuM0qhxTVnuTjyh31HgTeA8gsAAABZeyJvcmlnaW4iOiJodHRwczovL21sYy5haTo0NDMiLCJmZWF0dXJlIjoiV2ViR1BVIiwiZXhwaXJ5IjoxNjkxNzExOTk5LCJpc1N1YmRvbWFpbiI6dHJ1ZX0="
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/>
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<script src="https://code.jquery.com/jquery-3.6.3.min.js" integrity="sha256-pvPw+upLPUjgMXY0G+8O0xUf+/Im1MZjXxxgOcBQBXU=" crossorigin="anonymous"></script>
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<link rel="stylesheet" href="{{ '/assets/css/hero.css' | relative_url }}" />

site/_includes/hero.html

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<section id="hero">
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<div class="heading-container">
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<h1>MLC LLM: High-Performance Universal LLM Engine for Cloud and Edge</h1>
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<div class="link-container">
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<a class="get-start-link" href="https://webllm.mlc.ai">
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<span class="get-start-link-content">
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<span>Check WebLLM</span>
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<span class="arrow-container">{% include arrow.svg %}</span></span
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>
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</a>
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<a class="chat-link moving-border" href="https://llm.mlc.ai/docs">
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<span class="border"></span>
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<span class="chat-link-content">
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<span>Get Started</span>
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<span class="arrow-container">{% include arrow.svg %}</span>
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</span>
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</a>
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</div>
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</div>
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<div class="demo-container">
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<!-- <img class="android" src="/assets/gif/android-demo.gif" alt="Android Demo" width="612" height="1334" />
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<img class="linux" src="/assets/gif/linux-demo.gif" alt="Linux Demo" width="1089" height="667" />
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<img class="ios" src="/assets/gif/ios-demo.gif" alt="iOS Demo" width="640" height="1394" /> -->
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<!-- <img src="https://llm.mlc.ai/docs/_images/project-workflow.svg" alt="MLC LLM Architecture" /> -->
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{% include project-workflow.svg %}
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</div>
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</section>
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<script>
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(function() {
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function handlerIn(e) {
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$(this).addClass("expanded");
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}
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function handlerOut(e) {
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$(this).removeClass("expanded");
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}
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$(".chat-link").hover(handlerIn, handlerOut);
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$(".github-link").hover(handlerIn, handlerOut);
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})()
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</script>

site/_includes/project-workflow.svg

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site/assets/css/hero.scss

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---
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---
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#hero {
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background: radial-gradient(100% 50rem at center 50rem, #3351cb50, #ffffff);
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padding: 3rem;
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width: 100vw;
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margin-left: calc(50% - 50vw);
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margin-top: -20px;
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display: flex;
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flex-direction: column;
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align-items: center;
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a {
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color: black;
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}
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.heading-container {
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display: flex;
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flex-direction: column;
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align-items: center;
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font-family: "Mona Sans", "MonaSansFallback", -apple-system, BlinkMacSystemFont, "Segoe UI", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji";
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margin: auto;
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a {
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min-width: fit-content;
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max-width: 16rem;
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flex-grow: 1;
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}
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h1 {
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text-align: center;
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font-size: 2rem;
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font-weight: 700;
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}
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.link-container {
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display: flex;
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margin-top: 2rem;
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align-items: center;
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flex-wrap: wrap;
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font-size: 1rem;
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word-break: keep-all;
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font-weight: 600;
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gap: 1rem;
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justify-content: center;
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.get-start-link {
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display: inline-flex;
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gap: 1rem;
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border-radius: 9999px;
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vertical-align: middle;
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align-items: center;
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justify-content: center;
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text-decoration: none;
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cursor: pointer;
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height: fit-content;
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// padding: .25rem;
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.get-start-link-content {
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width: 100%;
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height: 100%;
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z-index: 1;
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border-radius: 9999px;
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padding: 1rem 1.75rem;
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background-color: #000000;
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display: inline-flex;
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gap: .5rem;
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display: inline-flex;
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justify-content: center;
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color: rgb(229 229 229);
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.icon {
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display: inline-flex;
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align-items: center;
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svg {
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height: 1.5rem;
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}
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}
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}
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}
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.chat-link {
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display: inline-flex;
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gap: 1rem;
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background-color: white;
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border-radius: 9999px;
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vertical-align: middle;
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align-items: center;
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justify-content: center;
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text-decoration: none;
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cursor: pointer;
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height: fit-content;
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padding: .25rem;
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.chat-link-content {
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width: 100%;
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height: 100%;
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z-index: 1;
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border-radius: 9999px;
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padding: 1rem 1.75rem;
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background-color: white;
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display: inline-flex;
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justify-content: center;
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}
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}
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.arrow-container {
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margin-left: .25rem;
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display: inline-flex;
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align-items: center;
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}
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}
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}
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.arrow-expandable {
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stroke-dasharray: 10;
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stroke-dashoffset: 10;
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transition: stroke-dashoffset 200ms;
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}
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.expanded {
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.arrow-expandable {
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stroke-dashoffset: 20;
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}
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}
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.demo-container {
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position: relative;
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margin-top: 96px;
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width: 100%;
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max-width: 1024px;
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flex-shrink: 0;
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padding: 2rem;
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svg {
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height: auto;
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width: 100%;
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border-radius: inherit;
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}
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}
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}
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.moving-border {
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overflow: hidden;
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position: relative;
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.border {
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position: absolute;
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inset: -1000%;
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animation: spin 3s linear infinite;
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border-radius: 1rem;
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background-image: conic-gradient(from 90deg at 50% 50%, #e2cbff 0, #393bb2 50%, #e2cbff 100%);
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}
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}
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@media screen and (min-width:640px) {
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#hero {
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padding: 6rem;
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.heading-container {
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max-width: 40rem;
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h1 {
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font-size: 3rem;
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}
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}
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}
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}
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@media screen and (min-width:768px) {
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#hero {
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.heading-container {
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max-width: 45rem;
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h1 {
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font-size: 3.2rem;
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}
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.link-container {
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font-size: 1.2rem;
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}
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}
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}
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}
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@media screen and (min-width:1024px) {
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#hero {
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padding: 8rem;
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.heading-container {
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max-width: 50rem;
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h1 {
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font-size: 3.5rem;
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}
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}
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}
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}
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@media screen and (min-width:1280px) {
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#hero {
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.heading-container {
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max-width: 60rem;
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h1 {
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font-size: 4rem;
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}
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}
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}
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}
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@media screen and (min-width:1760px) {
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#hero {
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background: radial-gradient(100% 50rem at center 50rem, #3351cb50, #ffffff);
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gap: 4rem;
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padding-bottom: 12rem;
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}
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}
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@keyframes spin {
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100% {
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transform: rotate(1turn);
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}
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}
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site/index.md

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notitle: true
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---
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# MLC LLM
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{% include hero.html %}
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Documentation: [https://llm.mlc.ai/docs](https://llm.mlc.ai/docs)
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## Overview
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**M**achine **L**earning **C**ompilation for **L**arge **L**anguage **M**odels (MLC LLM) is a high-performance universal deployment solution that allows native deployment of any large language models with native APIs with compiler acceleration. The mission of this project is to enable everyone to develop, optimize and deploy AI models natively on everyone's devices with ML compilation techniques.
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<p align="center">
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<img src="https://llm.mlc.ai/docs/_images/project-workflow.svg" height="300">
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</p>
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## Installation
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MLC LLM is available via [pip](https://llm.mlc.ai/docs/install/mlc_llm.html#install-mlc-packages).

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