{"id":32663,"date":"2025-04-09T11:30:36","date_gmt":"2025-04-09T03:30:36","guid":{"rendered":"https:\/\/www.1ai.net\/?p=32663"},"modified":"2025-04-09T11:30:36","modified_gmt":"2025-04-09T03:30:36","slug":"meta%e6%b7%b1%e5%a4%9c%e5%bc%80%e6%ba%90llama-4%e7%b3%bb%e5%88%97%e6%a8%a1%e5%9e%8b%ef%bc%8c2%e4%b8%87%e4%ba%bf%e5%8f%82%e6%95%b0%e5%a4%a7%e6%a8%a1%e5%9e%8bllama-4%e5%a6%82%e4%bd%95%e5%85%8d%e8%b4%b9","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/32663.html","title":{"rendered":"Meta late-night open source Llama 4 series of models, 2 trillion parameters large model Llama 4 how to use for free?"},"content":{"rendered":"

Saturday. Meta<\/a>Released the newOpen Source<\/a>ofLlama 4<\/a>Series Models.<\/p>\n

As an open source model, Llama 4 has one major limitation - its massive size. The smallest Llama 4 Scout model in the family has 109 billion parameters, so large that it simply cannot be run on a local system.<\/p>\n

But don't worry! Even if you don't have a GPU, we've found a way to use it for free through the web interface. If you have a strong enough graphics card, you can also download the full model weights - this guide will explain all the ways to get them.<\/p>\n

1. Using Llama 4 directly on Meta.ai<\/strong><\/p>\n

The easiest way to experience Llama 4 is through Meta's official AI platform.<\/p>\n

Steps:<\/strong><\/p>\n

    \n
  1. Visit Meta.ai<\/li>\n
  2. Start chatting straight away - the platform has been upgraded to Llama 4 by default.<\/li>\n
  3. To confirm, ask, \"Which model are you, Llama 3 or Llama 4?\" and it should answer, \"I run based on Llama 4.\"<\/li>\n<\/ol>\n

    \"e5374caaj00suflli000cd000u0004vp\"<\/p>\n

    \u274c\u00a0shortcoming<\/strong>: Limited functionality, no support for API calls.<\/p>\n

    If you just want a quick taste of Llama 4, just visit Meta.ai.<\/p>\n

    2. Download model weights from Llama.com<\/strong><\/p>\n

    If you want to use the original model weights directly, Meta offers a free download.<\/p>\n

    Steps:<\/strong><\/p>\n

      \n
    1. Visit Llama.com<\/li>\n
    2. Fill out the request form to get access<\/li>\n<\/ol>\n

      \"2e3eb023j00sufllb000wd000u00095p\"<\/p>\n

      \u2705 Pros: no registration required, instant access. 3. After review, you can download the following models:<\/p>\n

      Llama 4 Scout<\/strong><\/p>\n

      Llama 4 Maverick<\/strong>(larger\u00a0Behemoth<\/strong>\u00a0(Version may follow)<\/p>\n

      \u2705\u00a0advantage<\/strong>: Access to full models, support for local\/cloud deployment<\/p>\n

      \u274c\u00a0shortcoming<\/strong>: Application review required, not ready-to-use chat interface<\/p>\n

      Suitable for<\/strong>: Developers or users who wish to test models locally.<\/p>\n

      3. Free access to chat and API interfaces through OpenRouter<\/strong><\/p>\n

      OpenRouter.ai provides free access to the Llama 4 model API.<\/p>\n

      Steps:<\/strong><\/p>\n

        \n
      1. Visit OpenRouter.ai<\/li>\n
      2. Register for an account (free)<\/li>\n
      3. Find in the list of models\u00a0Llama 4 Maverick (free)<\/strong>\u00a0and\u00a0Llama 4 Scout (free)<\/strong><\/li>\n
      4. Just start chatting or get a free API key for integration!<\/li>\n<\/ol>\n

        \u2705\u00a0dominance<\/strong>:<\/p>\n

          \n
        • Completely free API access<\/li>\n
        • No need to wait for review<\/li>\n
        • Provides both a web chat interface and an API interface<\/li>\n<\/ul>\n

          \u274c\u00a0limitation<\/strong>:<\/p>\n

            \n
          • There may be a limit to the frequency of calls<\/li>\n<\/ul>\n

            Applicable scenarios<\/strong>: Ideal for developers who need to quickly integrate the Llama 4 API or for users who want to experience the latest models for free.<\/p>\n

            4. Use of Llama on HuggingFace 4<\/strong><\/p>\n

            Developer Favorite?Hugging Face is always the best choice!<\/p>\n

            The Hugging Face platform provides a wide range of Llama4 models with various accuracies (e.g., FP8, etc.) for developers.<\/p>\n

            Steps to use:<\/strong><\/p>\n

              \n
            1. Visit Hugging Face's Llama 4 page (https:\/\/huggingface.co\/meta-llama)<\/li>\n
            2. Fill out Meta's Restricted Access Request Form (approval soon)<\/li>\n
            3. Use Hugging Face inference API or download model weights directly<\/li>\n<\/ol>\n

              \u2705\u00a0dominance<\/strong>:<\/p>\n

                \n
              • Complete model flexibility<\/li>\n
              • Support for model fine-tuning<\/li>\n
              • Multiple accuracy options available<\/li>\n<\/ul>\n

                \u274c\u00a0limitation<\/strong>:<\/p>\n

                  \n
                • Need to request access<\/li>\n
                • Higher technical threshold<\/li>\n
                • Self-constructed environment required<\/li>\n<\/ul>\n

                  population (esp. of a group of people)<\/strong>: Ideal for AI researchers and engineers who need to deeply customize their models or perform secondary development.<\/p>\n

                  Final selection of recommendations<\/strong><\/p>\n

                  While the $400 billion parameter of\u00a0Llama 4 Behemoth<\/strong>\u00a0It's not fully available yet, but you can try the following versions for free right now:<\/p>\n

                  \ud83d\udd39 Meta.ai (simplest ready to use)<\/p>\n

                  \ud83d\udd39 OpenRouter.ai (best API solution)<\/p>\n

                  \ud83d\udd39 Llama.com (get model weights)<\/p>\n

                  \ud83d\udd39 Hugging Face (Developer Preferred)<\/p>\n

                  Have you already tried Llama 4?<\/strong><\/p>","protected":false},"excerpt":{"rendered":"

                  On Saturday, Meta released the new open source Llama 4 series of models. As an open source model, Llama 4 has one major limitation - its massive size. The smallest Llama 4 Scout model in the series has 109 billion parameters, which is simply too large to run on a local system. But don't worry! Even if you don't have a GPU, we've found a way to use it for free through the web interface. If you have a powerful enough graphics card, you can also download the full model weights - this guide will explain all the ways to get them. 1. Using Llama 4 directly on Meta.ai The easiest way to experience Llama 4 is through Meta's official AI platform. How to: Visit<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[144],"tags":[6188,297,219],"collection":[],"class_list":["post-32663","post","type-post","status-publish","format-standard","hentry","category-baike","tag-llama-4","tag-meta","tag-219"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/32663","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=32663"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/32663\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=32663"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=32663"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=32663"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=32663"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}