{"id":5223,"date":"2025-01-28T19:46:17","date_gmt":"2025-01-28T18:46:17","guid":{"rendered":"https:\/\/www.utilewebsites.nl\/knowledgebase\/hoe-installeer-je-een-lokale-llm-op-ubuntu-24-10-met-lm-studio\/"},"modified":"2025-07-05T15:16:06","modified_gmt":"2025-07-05T14:16:06","slug":"hoe-installeer-je-een-lokale-llm-op-ubuntu-24-10-met-lm-studio","status":"publish","type":"wz_knowledgebase","link":"https:\/\/www.utilewebsites.nl\/en\/knowledgebase\/hoe-installeer-je-een-lokale-llm-op-ubuntu-24-10-met-lm-studio\/","title":{"rendered":"How to Install a Local LLM on Ubuntu 24.10 with LM Studio?"},"content":{"rendered":"\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p>With <strong>LM Studio<\/strong>, you can run <strong>local AI models (LLMs)<\/strong> on your own computer, without relying on cloud services like OpenAI. In this guide, you'll learn how to <strong>install LM Studio<\/strong>, <strong>download<\/strong> an LLM, <strong>test<\/strong> it, and how to start the <strong>API server<\/strong> to use the model in your own applications.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>1. Download and Install LM Studio<\/strong><\/h2>\n\n\n\n<p>LM Studio is distributed as an <strong>AppImage<\/strong>, a standalone executable file. Follow these steps to install it:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Download LM Studio<\/strong>\n<ul class=\"wp-block-list\">\n<li>Go to <a href=\"https:\/\/lmstudio.ai\/\">lmstudio.ai<\/a> and download the <strong>Linux AppImage<\/strong>.<\/li>\n\n\n\n<li>Save the file in a directory such as <code>~\/Applications\/<\/code>.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Make the file executable<\/strong><br>Open a terminal and run the following command: <code>chmod +x ~\/Applications\/LM-Studio-*.AppImage<\/code><\/li>\n\n\n\n<li><strong>Start LM Studio<\/strong> <code>~\/Applications\/LM-Studio-*.AppImage<\/code> You can now use LM Studio, but let's also ensure it appears in your <strong>application menu<\/strong>.<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>2. Add LM Studio to the Applications Menu<\/strong><\/h2>\n\n\n\n<p>Create a <code>.desktop<\/code> file so that LM Studio appears in your application menu:<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>nano ~\/.local\/share\/applications\/LM-Studio.desktop\n<\/code><\/pre>\n\n\n\n<p>Paste this content and <strong>adjust the path<\/strong>:<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>&#091;Desktop Entry]\nType=Application\nName=LM Studio\nExec=\/home\/user\/Applications\/LM-Studio-0.3.8-4-x64.AppImage --no-sandbox\nIcon=\/home\/user\/Applications\/lmstudio-icon.png\nTerminal=false\nCategories=Development;AI;\n<\/code><\/pre>\n\n\n\n<p>Save with <code>CTRL+O<\/code>, close with <code>CTRL+X<\/code>, and update the menu:<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>update-desktop-database ~\/.local\/share\/applications\n<\/code><\/pre>\n\n\n\n<p>You can now open LM Studio from the application menu! &#x1f389;<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/llmstudio-interface-1024x643.png\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"643\" src=\"https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/llmstudio-interface-1024x643.png\" alt=\"\" class=\"wp-image-5211\" srcset=\"https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/llmstudio-interface-1024x643.png 1024w, https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/llmstudio-interface-300x188.png 300w, https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/llmstudio-interface-768x482.png 768w, https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/llmstudio-interface-1536x965.png 1536w, https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/llmstudio-interface.png 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>3. Download a Local LLM Model<\/strong><\/h2>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Open <strong>LM Studio<\/strong> and go to <strong>Model Search<\/strong>.<\/li>\n\n\n\n<li>Search for <strong>Llama 3.2 1B Instruct<\/strong> (lightweight and beginner-friendly).<\/li>\n\n\n\n<li>Select a <strong>Q4_K_M or Q8_0 quantization<\/strong> (lower bit values use less RAM).<\/li>\n\n\n\n<li>Wait for the download to complete.<\/li>\n<\/ol>\n\n\n\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/llm-model-downloaden-1024x643.png\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"643\" src=\"https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/llm-model-downloaden-1024x643.png\" alt=\"\" class=\"wp-image-5213\" srcset=\"https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/llm-model-downloaden-1024x643.png 1024w, https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/llm-model-downloaden-300x188.png 300w, https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/llm-model-downloaden-768x482.png 768w, https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/llm-model-downloaden-1536x965.png 1536w, https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/llm-model-downloaden.png 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>4. Test if the Model Works<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Go to <strong>Chats<\/strong> in LM Studio.<\/li>\n\n\n\n<li>Start a <strong>new chat<\/strong> and select the loaded model.<\/li>\n\n\n\n<li>Type questions like: <code>\"What is the capital of France?\" \"Explain quantum mechanics in simple terms.\" \"What is LLM model Llama-3.3-1B?\"<\/code> <\/li>\n\n\n\n<li>If the model responds, everything is working!<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/test-llm-1024x643.png\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"643\" src=\"https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/test-llm-1024x643.png\" alt=\"\" class=\"wp-image-5215\" srcset=\"https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/test-llm-1024x643.png 1024w, https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/test-llm-300x188.png 300w, https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/test-llm-768x482.png 768w, https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/test-llm-1536x965.png 1536w, https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/test-llm.png 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>5. Start the LLM API Server for Use in Your Own App<\/strong><\/h2>\n\n\n\n<p>Want to integrate LM Studio into your <strong>Python app<\/strong> or chatbot? Start the <strong>local server<\/strong>:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Open <strong>LM Studio<\/strong> and enable <strong>\"Developer mode\"<\/strong>.<\/li>\n\n\n\n<li>Click <strong>\"Start Server\"<\/strong> (the server will run at <code>http:\/\/127.0.0.1:1234<\/code>).<\/li>\n\n\n\n<li>Test if it's working: <code>curl http:\/\/127.0.0.1:1234\/v1\/models<\/code><\/li>\n<\/ol>\n\n\n\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/llm-running-servr-1024x643.png\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"643\" src=\"https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/llm-running-servr-1024x643.png\" alt=\"\" class=\"wp-image-5217\" srcset=\"https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/llm-running-servr-1024x643.png 1024w, https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/llm-running-servr-300x188.png 300w, https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/llm-running-servr-768x482.png 768w, https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/llm-running-servr-1536x965.png 1536w, https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/llm-running-servr.png 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/afbeeldingjson-1024x643.png\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"643\" src=\"https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/afbeeldingjson-1024x643.png\" alt=\"\" class=\"wp-image-5227\" srcset=\"https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/afbeeldingjson-1024x643.png 1024w, https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/afbeeldingjson-300x188.png 300w, https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/afbeeldingjson-768x482.png 768w, https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/afbeeldingjson-1536x965.png 1536w, https:\/\/www.utilewebsites.nl\/wp-content\/uploads\/2025\/01\/afbeeldingjson.png 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>6. Example: Using LLM in a Python App<\/strong><\/h2>\n\n\n\n<pre class=\"wp-block-code\"><code>import requests\n\nurl = \"http:\/\/127.0.0.1:1234\/v1\/chat\/completions\"\nheaders = {\"Content-Type\": \"application\/json\"}\ndata = {\n    \"model\": \"llama-3.2-1b-instruct\",\n    \"messages\": &#091;{\"role\": \"user\", \"content\": \"What is the capital of France?\"}]\n}\n\nresponse = requests.post(url, json=data, headers=headers)\nprint(response.json())\n<\/code><\/pre>\n\n\n\n<p>To send a JSON-formatted POST request in PHP to interact with LM Studio's API, you can utilize PHP's cURL library.\ue204 Here's how you can structure your code:\ue206<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>&lt;?php<br>\/\/ API endpoint URL<br>$url = 'http:\/\/127.0.0.1:1234\/v1\/chat\/completions';<br><br>\/\/ Data to be sent in the POST request<br>$data = &#091;<br>    'model' =&gt; 'llama-3.2-1b-instruct',<br>    'messages' =&gt; &#091;<br>        &#091;'role' =&gt; 'user', 'content' =&gt; 'Wat is de hoofdstad van Frankrijk?']<br>    ]<br>];<br><br>\/\/ Initialize cURL session<br>$ch = curl_init($url);<br><br>\/\/ Encode data to JSON format<br>$payload = json_encode($data);<br><br>\/\/ Set cURL options<br>curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);<br>curl_setopt($ch, CURLOPT_POST, true);<br>curl_setopt($ch, CURLOPT_POSTFIELDS, $payload);<br>curl_setopt($ch, CURLOPT_HTTPHEADER, &#091;<br>    'Content-Type: application\/json',<br>    'Content-Length: ' . strlen($payload)<br>]);<br><br>\/\/ Execute cURL request<br>$response = curl_exec($ch);<br><br>\/\/ Check for errors<br>if ($response === false) {<br>    $error = curl_error($ch);<br>    curl_close($ch);<br>    die('cURL Error: ' . $error);<br>}<br><br>\/\/ Close cURL session<br>curl_close($ch);<br><br>\/\/ Decode and display the response<br>$result = json_decode($response, true);<br>print_r($result);<br>?&gt;<\/code><\/pre>\n\n\n\n<p>This sends a query to the <strong>local LLM<\/strong> and prints the response.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">7. Minimum System Requirements for LM Studio<\/h2>\n\n\n\n<p>Want to run a local LLM? Here are the <strong>minimum and recommended specifications<\/strong>:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Component<\/th><th>Minimum Specs<\/th><th>Recommended Specs<\/th><\/tr><\/thead><tbody><tr><td><strong>CPU<\/strong><\/td><td>Intel Core i5 (AVX2)<\/td><td>Intel i7\/i9 or AMD Ryzen 7\/9<\/td><\/tr><tr><td><strong>RAM<\/strong><\/td><td>8 GB<\/td><td>16-32 GB (for larger models)<\/td><\/tr><tr><td><strong>Storage<\/strong><\/td><td>10 GB free space<\/td><td>50 GB+ (for multiple models)<\/td><\/tr><tr><td><strong>GPU<\/strong><\/td><td>Not required<\/td><td>NVIDIA GPU with CUDA for faster performance<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>The <strong>more powerful your CPU\/GPU<\/strong>, the faster the LLM will respond. A <strong>GPU like an NVIDIA RTX 3060+<\/strong> can significantly speed up the process.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Conclusion<\/strong><\/h2>\n\n\n\n<p>With LM Studio, you can <strong>run, test, and use local AI models<\/strong> without depending on cloud services. Whether you're creating a <strong>chatbot, AI assistant, or embedded LLM<\/strong>, this is a great way to run AI locally. &#x1f680;<\/p>\n\n\n        <div id=\"utilehelp-chatbot\" class=\"utilehelp-chatbot utilehelp-collapsed\">\n            <div class=\"utilehelp-chat-header utilehelp-chat-toggle\" style=\"cursor:pointer;\">\n                <div class=\"utilehelp-chat-header-logo\">\n                    <span>U<\/span>\n                <\/div>\n                <div>\n                    <div class=\"utilehelp-chat-header-title\">\n                        UtileHelp AI Assistant                        <span class=\"utilehelp-beta-label\">BETA<\/span>\n                    <\/div>\n                    <div class=\"utilehelp-chat-header-desc\">Ask your question about our services, support or knowledge base.<\/div>\n                <\/div>\n                <button class=\"utilehelp-chat-start-btn\" type=\"button\" style=\"margin-left:auto;\">Start chat<\/button>\n            <\/div>\n            <div class=\"utilehelp-chat-body\" style=\"display:none;\">\n                <div class=\"utilehelp-chat-window\"><\/div>\n                <form class=\"utilehelp-chat-form\">\n                    <input type=\"text\" name=\"message\" class=\"utilehelp-chat-input\" placeholder=\"Type your question...\" required \/>\n                    <button type=\"submit\" class=\"utilehelp-chat-send\" aria-label=\"Send\">\n                        <svg viewBox=\"0 0 24 24\" focusable=\"false\" aria-hidden=\"true\">\n                            <path d=\"M12 5l6 6h-4v8h-4v-8H6z\"\/>\n                        <\/svg>\n                    <\/button>\n                <\/form>\n                <div class=\"utilehelp-chat-disclaimer\">\n                    <small>This is a <b>beta<\/b> version. 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In this guide, you'll learn how to install LM Studio, download an LLM, test it, and how to start the API server to use the model in your own applications. 1. Download and Install LM Studio LM Studio is distributed as an AppImage, a standalone executable file. Follow these steps to install it: 2. Add LM Studio to the Applications Menu Create a .desktop file so that LM Studio appears in your application menu: Paste this content and adjust&nbsp;<a href=\"https:\/\/www.utilewebsites.nl\/en\/knowledgebase\/hoe-installeer-je-een-lokale-llm-op-ubuntu-24-10-met-lm-studio\/\" class=\"read-more\">Continue Reading<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"wzkb_category":[93],"wzkb_tag":[],"class_list":["post-5223","wz_knowledgebase","type-wz_knowledgebase","status-publish","hentry","wzkb_category-ai-artificial-intelligence"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>How to Install a Local LLM on Ubuntu 24.10 with LM Studio? - Utilewebsites<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.utilewebsites.nl\/en\/knowledgebase\/hoe-installeer-je-een-lokale-llm-op-ubuntu-24-10-met-lm-studio\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How to Install a Local LLM on Ubuntu 24.10 with LM Studio? - Utilewebsites\" \/>\n<meta property=\"og:description\" content=\"With LM Studio, you can run local AI models (LLMs) on your own computer, without relying on cloud services like OpenAI. In this guide, you&#039;ll learn how to install LM Studio, download an LLM, test it, and how to start the API server to use the model in your own applications. 1. Download and Install LM Studio LM Studio is distributed as an AppImage, a standalone executable file. Follow these steps to install it: 2. 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