{"id":423249,"date":"2024-02-21T13:32:44","date_gmt":"2024-02-21T13:32:44","guid":{"rendered":"https:\/\/webkul.com\/blog\/?p=423249"},"modified":"2026-01-19T06:58:39","modified_gmt":"2026-01-19T06:58:39","slug":"how-to-use-llama2-in-magento","status":"publish","type":"post","link":"https:\/\/webkul.com\/blog\/how-to-use-llama2-in-magento\/","title":{"rendered":"How to Use LLama In Magento"},"content":{"rendered":"\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"800\" height=\"440\" src=\"https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2024\/04\/how-to-use-llama2-in-magento-1.webp\" alt=\"how to use LLama in Magento\" class=\"wp-image-431582\" srcset=\"https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2024\/04\/how-to-use-llama2-in-magento-1.webp 800w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2024\/04\/how-to-use-llama2-in-magento-1-300x165.webp 300w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2024\/04\/how-to-use-llama2-in-magento-1-250x138.webp 250w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2024\/04\/how-to-use-llama2-in-magento-1-768x422.webp 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" loading=\"lazy\" \/><\/figure>\n\n\n\n<p>Have you ever considered having a conversation with an intelligent computer? Or perhaps you&#8217;re interested in creating innovative projects base on Magento with AI LLM LLama? <\/p>\n\n\n\n<p>Well, take a look at LLama! It&#8217;s the newest highly intelligent computer program developed by Meta AI, a division of Meta (formerly known as Facebook).<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>What is LLama?<\/strong><\/h2>\n\n\n\n<p>Llama is part of a group of smart AI called large language models (LLMs). These machines can create and understand human language.<\/p>\n\n\n\n<p> They get really smart with huge amounts of text from all sorts of places like books, websites, and social media.<\/p>\n\n\n\n<p> This helps them learn how words and sentences work in different situations and topics.<\/p>\n\n\n\n<p><strong>How can we use it and its installation process?<\/strong><\/p>\n\n\n\n<p>There are multiple ways to use LLama, we are discussing it to use it on the local system or on a cloud hosted server for that we can use the ollama.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>About ollama<\/strong><\/h2>\n\n\n\n<p>Ollama is a handy tool that lets you use open-source large language models (LLMs) right on your own computer. It works with different models like Llama , Code Llama, and more.<\/p>\n\n\n\n<p> It gathers everything these models need &#8211; like their settings, data, and code &#8211; into one neat package called a Modelfile.<\/p>\n\n\n\n<p> Ollama simplifies autonomous learning and adjustment, minimising the requirement for extensive manual reprogramming and fine-tuning of AI systems.<\/p>\n\n\n\n<p>We can use this to make various applications like natural language processing and image recognition.<\/p>\n\n\n\n<p><strong>Ollama<\/strong> <strong>Installation:<\/strong><\/p>\n\n\n\n<p>For Windows:<\/p>\n\n\n\n<p><a href=\"https:\/\/ollama.com\/download\/windows\">https:\/\/ollama.com\/download\/windows<\/a><\/p>\n\n\n\n<p>For Mac:<\/p>\n\n\n\n<p><a href=\"https:\/\/ollama.com\/download\/mac\">https:\/\/ollama.com\/download\/mac<\/a><\/p>\n\n\n\n<p>For Linux:<\/p>\n\n\n\n<p>Install it using a single command:<\/p>\n\n\n\n<p><strong>curl -fsSL https:\/\/ollama.com\/install.sh | sh<\/strong><\/p>\n\n\n\n<p>Ollama Supports list of models available on&nbsp; <a href=\"https:\/\/ollama.com\/library\">https:\/\/ollama.com\/library<\/a><\/p>\n\n\n\n<p>Below are listed a few models.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"800\" height=\"600\" src=\"https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2024\/02\/list-of-models.webp\" alt=\"list-of-models\" class=\"wp-image-522481\" srcset=\"https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2024\/02\/list-of-models.webp 800w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2024\/02\/list-of-models-300x225.webp 300w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2024\/02\/list-of-models-250x188.webp 250w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2024\/02\/list-of-models-768x576.webp 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" loading=\"lazy\" \/><\/figure>\n\n\n\n<p>Please keep in mind that running the 7B models requires a minimum of 8 GB of RAM, while the 13B models need 16 GB, and the 33B models need 32 GB.<\/p>\n\n\n\n<p>After ollama installation, you can easily fetch any of the models using a simple pull command.<\/p>\n\n\n\n<p><strong>ollama pull llama<\/strong><\/p>\n\n\n\n<p>After completing the pull command, you can run it directly in the terminal for text generation. <\/p>\n\n\n\n<p>For Example.<\/p>\n\n\n\n<p><strong>ollama run llama<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1200\" height=\"403\" src=\"https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2024\/02\/screenshot_from_2024_02_21_11_56_06-1200x403.png\" alt=\"Llama2 run on terminal.\" class=\"wp-image-423269\" srcset=\"https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2024\/02\/screenshot_from_2024_02_21_11_56_06-1200x403.png 1200w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2024\/02\/screenshot_from_2024_02_21_11_56_06-300x101.png 300w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2024\/02\/screenshot_from_2024_02_21_11_56_06-250x84.png 250w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2024\/02\/screenshot_from_2024_02_21_11_56_06-768x258.png 768w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2024\/02\/screenshot_from_2024_02_21_11_56_06.png 1518w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" loading=\"lazy\" \/><\/figure>\n\n\n\n<p>Ollama also offers a REST API for running and managing models.<\/p>\n\n\n\n<p>See the <a href=\"https:\/\/github.com\/ollama\/ollama\/blob\/main\/docs\/api.md\">API Documentation<\/a> for the endpoints.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>How can we use it in Magento?<\/strong><\/h2>\n\n\n\n<p><strong>As A Shopping Assistant:&nbsp;<\/strong><\/p>\n\n\n\n<p>With Llama, you can develop chat bots capable of conversing naturally with people. You have the flexibility to tailor these chat bots to fit your specific field, personality, and tone.\u00a0<\/p>\n\n\n\n<p><strong>For auto generate content of products :\u00a0<\/strong><br>Using Llama, you can generate content of products base on products Name , SKU or other attributes as your need.<\/p>\n\n\n\n<p>Ex. using following method you can generate content of products base on product name and set in product description as your need.<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\">&lt;?php\nnamespace Webkul\\Ollama\\Model;\n\nclass AIContent\n{\n    \/**\n     * @var \\Magento\\Framework\\HTTP\\Client\\Curl\n     *\/\n    protected $curl;\n\n    \/**\n     * @param \\Magento\\Framework\\HTTP\\Client\\Curl $curl\n     *\/\n    public function __construct(\n        \\Magento\\Framework\\HTTP\\Client\\Curl $curl\n    ) {\n        $this-&gt;curl = $curl;\n    }\n\n    \/**\n     * Get AI content\n     *\n     * @param string $productName\n     * @return string\n     *\/\n    public function getAIContent($productName)\n    {\n        $this-&gt;curl-&gt;addHeader(&#039;content-type&#039;, &#039;application\/json&#039;);\n        $arr = &#091;\n            CURLOPT_RETURNTRANSFER =&gt; true,\n            CURLOPT_ENCODING =&gt; &#039;&#039;,\n            CURLOPT_MAXREDIRS =&gt; 10,\n            CURLOPT_TIMEOUT =&gt; 0,\n            CURLOPT_FOLLOWLOCATION =&gt; true,\n            CURLOPT_HTTP_VERSION =&gt; CURL_HTTP_VERSION_1_1,\n            CURLOPT_POSTFIELDS =&gt;&#039;{&quot;model&quot;:&quot;llama&quot;,&quot;prompt&quot;:&quot;Product Specification and description for &quot;&#039;.$productName.&#039;,&quot;stream&quot;: false}&#039;\n        ];\n        \n        $this-&gt;curl-&gt;setOptions($arr);\n        \/\/Here we pass Ollama API end point.\n        $this-&gt;curl-&gt;post(&#039;http:\/\/XXX.XXX.XX.XXX:11434\/api\/generate&#039;, &#091;]);\n        $productContent = json_decode($this-&gt;curl-&gt;getBody(), true);\n        return $productContent&#091;&#039;response&#039;];\n    }\n}<\/pre>\n\n\n\n<p>Thank you !!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Have you ever considered having a conversation with an intelligent computer? Or perhaps you&#8217;re interested in creating innovative projects base on Magento with AI LLM LLama? Well, take a look at LLama! It&#8217;s the newest highly intelligent computer program developed by Meta AI, a division of Meta (formerly known as Facebook). What is LLama? Llama <a href=\"https:\/\/webkul.com\/blog\/how-to-use-llama2-in-magento\/\">[&#8230;]<\/a><\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-423249","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How to Use LLama2 In Magento<\/title>\n<meta name=\"description\" content=\"These machines can create and understand human language. 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