Buckets:
| <meta charset="utf-8" /><meta name="hf:doc:metadata" content="{"title":"Use AI Models Locally","local":"use-ai-models-locally","sections":[{"title":"How to Use Local Apps","local":"how-to-use-local-apps","sections":[],"depth":2},{"title":"Supported Local Apps","local":"supported-local-apps","sections":[{"title":"Llama.cpp","local":"llamacpp","sections":[],"depth":3},{"title":"Ollama","local":"ollama","sections":[],"depth":3},{"title":"Jan","local":"jan","sections":[],"depth":3},{"title":"LM Studio","local":"lm-studio","sections":[],"depth":3}],"depth":2}],"depth":1}"> | |
| <link href="/docs/hub/pr_2521/en/_app/immutable/assets/0.e3b0c442.css" rel="modulepreload"> | |
| <link rel="modulepreload" href="/docs/hub/pr_2521/en/_app/immutable/entry/start.d19e5ca7.js"> | |
| <link rel="modulepreload" href="/docs/hub/pr_2521/en/_app/immutable/chunks/scheduler.409792a1.js"> | |
| <link rel="modulepreload" href="/docs/hub/pr_2521/en/_app/immutable/chunks/singletons.1ece723a.js"> | |
| <link rel="modulepreload" href="/docs/hub/pr_2521/en/_app/immutable/chunks/index.0f0d9f26.js"> | |
| <link rel="modulepreload" href="/docs/hub/pr_2521/en/_app/immutable/chunks/paths.a67d9216.js"> | |
| <link rel="modulepreload" href="/docs/hub/pr_2521/en/_app/immutable/entry/app.98ab229a.js"> | |
| <link rel="modulepreload" href="/docs/hub/pr_2521/en/_app/immutable/chunks/preload-helper.78e52d9f.js"> | |
| <link rel="modulepreload" href="/docs/hub/pr_2521/en/_app/immutable/chunks/index.92d389ff.js"> | |
| <link rel="modulepreload" href="/docs/hub/pr_2521/en/_app/immutable/nodes/0.7799902b.js"> | |
| <link rel="modulepreload" href="/docs/hub/pr_2521/en/_app/immutable/chunks/each.e59479a4.js"> | |
| <link rel="modulepreload" href="/docs/hub/pr_2521/en/_app/immutable/nodes/106.5447c892.js"> | |
| <link rel="modulepreload" href="/docs/hub/pr_2521/en/_app/immutable/chunks/CopyLLMTxtMenu.dcf7fb47.js"> | |
| <link rel="modulepreload" href="/docs/hub/pr_2521/en/_app/immutable/chunks/MermaidChart.svelte_svelte_type_style_lang.0c189c7e.js"> | |
| <link rel="modulepreload" href="/docs/hub/pr_2521/en/_app/immutable/chunks/CodeBlock.5ed269c1.js"><!-- HEAD_svelte-u9bgzb_START --><meta name="hf:doc:metadata" content="{"title":"Use AI Models Locally","local":"use-ai-models-locally","sections":[{"title":"How to Use Local Apps","local":"how-to-use-local-apps","sections":[],"depth":2},{"title":"Supported Local Apps","local":"supported-local-apps","sections":[{"title":"Llama.cpp","local":"llamacpp","sections":[],"depth":3},{"title":"Ollama","local":"ollama","sections":[],"depth":3},{"title":"Jan","local":"jan","sections":[],"depth":3},{"title":"LM Studio","local":"lm-studio","sections":[],"depth":3}],"depth":2}],"depth":1}"><!-- HEAD_svelte-u9bgzb_END --> <p></p> <div class="items-center shrink-0 min-w-[100px] max-sm:min-w-[50px] justify-end ml-auto flex" style="float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"><div class="inline-flex rounded-md max-sm:rounded-sm"><button class="inline-flex items-center gap-1 h-7 max-sm:h-7 px-2 max-sm:px-1.5 text-sm font-medium text-gray-800 border border-r-0 rounded-l-md max-sm:rounded-l-sm border-gray-200 bg-white hover:shadow-inner dark:border-gray-850 dark:bg-gray-950 dark:text-gray-200 dark:hover:bg-gray-800" aria-live="polite"><span class="inline-flex items-center justify-center rounded-md p-0.5 max-sm:p-0 hover:text-gray-800 dark:hover:text-gray-200"><svg class="sm:size-3.5 size-3" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg></span> <span>Copy page</span></button> <button class="inline-flex items-center justify-center w-6 max-sm:w-5 h-7 max-sm:h-7 disabled:pointer-events-none text-sm text-gray-500 hover:text-gray-700 dark:hover:text-white rounded-r-md max-sm:rounded-r-sm border border-l transition border-gray-200 bg-white hover:shadow-inner dark:border-gray-850 dark:bg-gray-950 dark:text-gray-200 dark:hover:bg-gray-800" aria-haspopup="menu" aria-expanded="false" aria-label="Open copy menu"><svg class="transition-transform text-gray-400 overflow-visible sm:size-3.5 size-3 rotate-0" width="1em" height="1em" viewBox="0 0 12 7" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M1 1L6 6L11 1" stroke="currentColor"></path></svg></button></div> </div> <h1 class="relative group"><a id="use-ai-models-locally" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#use-ai-models-locally"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>Use AI Models Locally</span></h1> <p data-svelte-h="svelte-1krg24h">You can run AI models from the Hub locally on your machine. This means that you can benefit from these advantages:</p> <ul data-svelte-h="svelte-16h8n77"><li><strong>Privacy</strong>: You won’t be sending your data to a remote server.</li> <li><strong>Speed</strong>: Your hardware is the limiting factor, not the server or connection speed.</li> <li><strong>Control</strong>: You can configure models to your liking.</li> <li><strong>Cost</strong>: You can run models locally without paying for an API provider.</li></ul> <h2 class="relative group"><a id="how-to-use-local-apps" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#how-to-use-local-apps"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>How to Use Local Apps</span></h2> <p data-svelte-h="svelte-16h0yw1">Local apps are applications that can run Hugging Face models directly on your machine. To get started:</p> <ol data-svelte-h="svelte-o1jadj"><li><strong>Enable local apps</strong> in your <a href="https://huggingface.co/settings/local-apps" rel="nofollow">Local Apps settings</a>.</li></ol> <p data-svelte-h="svelte-152w20"><img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/local-apps/settings.png" alt="Local Apps"></p> <ol data-svelte-h="svelte-12z2g69"><li><strong>Choose a supported model</strong> from the Hub by searching for it. You can filter by <code>app</code> in the <code>Other</code> section of the navigation bar:</li></ol> <p data-svelte-h="svelte-1xwyyiw"><img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/local-apps/search_llamacpp.png" alt="Local Apps"></p> <ol start="3" data-svelte-h="svelte-158m3tq"><li><strong>Select the local app</strong> from the “Use this model” dropdown on the model page.</li></ol> <p data-svelte-h="svelte-na1gux"><img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/local-apps/button.png" alt="Local Apps"></p> <ol start="4" data-svelte-h="svelte-zepibb"><li><strong>Copy and run</strong> the provided command in your terminal.</li></ol> <p data-svelte-h="svelte-uft7ly"><img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/local-apps/command.png" alt="Local Apps"></p> <h2 class="relative group"><a id="supported-local-apps" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#supported-local-apps"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>Supported Local Apps</span></h2> <p data-svelte-h="svelte-j5w8wn">The best way to check if a local app is supported is to go to the Local Apps settings and see if the app is listed. Here is a quick overview of some of the most popular local apps:</p> <blockquote class="tip" data-svelte-h="svelte-y369jy"><p>👨💻 To use these local apps, copy the snippets from the model card as above.</p> <p>👷 If you’re building a local app, you can learn about integrating with the Hub in <a href="https://huggingface.co/docs/hub/en/models-adding-libraries" rel="nofollow">this guide</a>.</p></blockquote> <h3 class="relative group"><a id="llamacpp" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#llamacpp"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>Llama.cpp</span></h3> <p data-svelte-h="svelte-wyuacm">Llama.cpp is a high-performance C/C++ library for running LLMs locally with optimized inference across lots of different hardware, including CPUs, CUDA and Metal.</p> <p data-svelte-h="svelte-j74s2p"><strong>Advantages:</strong></p> <ul data-svelte-h="svelte-popivm"><li>Extremely fast performance for CPU-based models on multiple CPU families</li> <li>Low resource usage</li> <li>Multiple interface options (CLI, server, Python library)</li> <li>Hardware-optimized for CPUs and GPUs</li></ul> <p data-svelte-h="svelte-pgi06i">To use Llama.cpp, navigate to the model card and click “Use this model” and copy the command.</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class="language-sh "><!-- HTML_TAG_START --><span class="hljs-comment"># Load and run the model:</span> | |
| ./llama-server -hf unsloth/gpt-oss-20b-GGUF:Q4_K_M<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-vqbpdr">Read our dedicated <a href="./gguf-llamacpp">llama.cpp + HF doc page</a>.</p> <h3 class="relative group"><a id="ollama" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#ollama"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>Ollama</span></h3> <p data-svelte-h="svelte-ak987m">Ollama is an application that lets you run large language models locally on your computer with a simple command-line interface.</p> <p data-svelte-h="svelte-j74s2p"><strong>Advantages:</strong></p> <ul data-svelte-h="svelte-1wkz0eu"><li>Easy installation and setup</li> <li>Direct integration with Hugging Face Hub</li></ul> <p data-svelte-h="svelte-1ww97mi">To use Ollama, navigate to the model card and click “Use this model” and copy the command.</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class="language-sh "><!-- HTML_TAG_START -->ollama run hf.co/unsloth/gpt-oss-20b-GGUF:Q4_K_M<!-- HTML_TAG_END --></pre></div> <h3 class="relative group"><a id="jan" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#jan"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>Jan</span></h3> <p data-svelte-h="svelte-1f0wlel">Jan is an open-source ChatGPT alternative that runs entirely offline with a user-friendly interface.</p> <p data-svelte-h="svelte-j74s2p"><strong>Advantages:</strong></p> <ul data-svelte-h="svelte-1wffgn5"><li>User-friendly GUI</li> <li>Chat with documents and files</li> <li>OpenAI-compatible API server, so you can run models and use them from other apps</li></ul> <p data-svelte-h="svelte-hn2w3l">To use Jan, navigate to the model card and click “Use this model”. Jan will open and you can start chatting through the interface.</p> <h3 class="relative group"><a id="lm-studio" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#lm-studio"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>LM Studio</span></h3> <blockquote class="note" data-svelte-h="svelte-a84o5s"><p>Read our dedicated <a href="./lmstudio">LM Studio doc page</a></p></blockquote> <p data-svelte-h="svelte-o6lyhs">LM Studio is a desktop application that provides an easy way to download, run, and experiment with local LLMs.</p> <p data-svelte-h="svelte-j74s2p"><strong>Advantages:</strong></p> <ul data-svelte-h="svelte-pnflos"><li>Intuitive graphical interface</li> <li>Built-in model browser</li> <li>Developer tools and APIs</li> <li>Free for personal and commercial use</li></ul> <p data-svelte-h="svelte-1qmex3u">Navigate to the model card and click “Use this model”. LM Studio will open and you can start chatting through the interface.</p> <a class="!text-gray-400 !no-underline text-sm flex items-center not-prose mt-4" href="https://github.com/huggingface/hub-docs/blob/main/docs/hub/local-apps.md" target="_blank"><svg class="mr-1" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M31,16l-7,7l-1.41-1.41L28.17,16l-5.58-5.59L24,9l7,7z"></path><path d="M1,16l7-7l1.41,1.41L3.83,16l5.58,5.59L8,23l-7-7z"></path><path d="M12.419,25.484L17.639,6.552l1.932,0.518L14.351,26.002z"></path></svg> <span data-svelte-h="svelte-zjs2n5"><span class="underline">Update</span> on GitHub</span></a> <p></p> | |
| <script> | |
| { | |
| __sveltekit_1bollga = { | |
| assets: "/docs/hub/pr_2521/en", | |
| base: "/docs/hub/pr_2521/en", | |
| env: {} | |
| }; | |
| const element = document.currentScript.parentElement; | |
| const data = [null,null]; | |
| Promise.all([ | |
| import("/docs/hub/pr_2521/en/_app/immutable/entry/start.d19e5ca7.js"), | |
| import("/docs/hub/pr_2521/en/_app/immutable/entry/app.98ab229a.js") | |
| ]).then(([kit, app]) => { | |
| kit.start(app, element, { | |
| node_ids: [0, 106], | |
| data, | |
| form: null, | |
| error: null | |
| }); | |
| }); | |
| } | |
| </script> | |
Xet Storage Details
- Size:
- 21.9 kB
- Xet hash:
- b3bdcc16bbd69a21533eadcb3843baba5d1fe012824bf05765ec2b6a683dba6a
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.