{"id":105135,"date":"2026-03-31T17:44:56","date_gmt":"2026-03-31T12:14:56","guid":{"rendered":"https:\/\/www.guvi.in\/blog\/?p=105135"},"modified":"2026-05-07T12:00:03","modified_gmt":"2026-05-07T06:30:03","slug":"how-to-use-code-llama","status":"publish","type":"post","link":"https:\/\/www.guvi.in\/blog\/how-to-use-code-llama\/","title":{"rendered":"How To Use Code Llama? A Beginner’s Guide"},"content":{"rendered":"\n

Imagine having a coding buddy who never sleeps, never gets tired, and never judges you for googling \u201chow to center a div\u201d again and again. That\u2019s what Code Llama feels like.<\/p>\n\n\n\n

Code Llama is a free, open-source AI made by Meta (the company behind Facebook). It can help you write code, finish your code, explain it in simple words, and even fix errors all by chatting with it.<\/p>\n\n\n\n

In this guide, you\u2019ll learn what Code Llama is, which version you should use, how to start using it quickly, and some simple tips to make the most out of it. Let\u2019s get started! <\/p>\n\n\n\n

Quick Answer: <\/strong>Code Llama is a free and open source AI tool by Meta that helps you write, understand, and fix code easily. It supports many programming languages and comes in different versions and sizes. With clear prompts, it can save time and make coding much easier.<\/p>\n\n\n\n

What is Code Llama?<\/strong><\/h2>\n\n\n\n
\"What<\/figure>\n\n\n\n

Code Llama is Meta\u2019s way of building an AI that is really good at coding. They took their powerful AI model called Llama 2 <\/a>and trained it a lot using different types of code.<\/p>\n\n\n\n

Because of this, Code Llama can understand and write code almost like an experienced developer. It works with many programming languages <\/a>like Python, JavaScript, Java, C++, TypeScript, PHP, Bash, and C#.<\/p>\n\n\n\n

The best part is that it is completely free and open source. You can even run it on your own computer without paying for any subscription.<\/p>\n\n\n\n

3 Code Llama Versions You Should Know Before You Start<\/strong><\/h2>\n\n\n\n
\"3<\/figure>\n\n\n\n

Code Llama Versions<\/a> are available in three types, each designed for a specific purpose and suited for different kinds of tasks.<\/p>\n\n\n\n

    \n
  1. Code Llama Base<\/strong><\/li>\n<\/ol>\n\n\n\n

    This version is for normal usage. It is suitable if you want to perform tasks like writing code, filling in code, etc. Also, It is recommended if you don\u2019t know which version to choose.<\/p>\n\n\n\n

      \n
    1. Code Llama Python<\/strong><\/li>\n<\/ol>\n\n\n\n

      This version is specifically designed for usage with the Python language. It performs best if you are using Python for tasks like data science, machine learning<\/a>, etc.<\/p>\n\n\n\n

        \n
      1. Code Llama Instruct<\/strong><\/li>\n<\/ol>\n\n\n\n

        This version is easy to use. You can simply speak to this version. For instance, you can say, \u201cWrite a function to perform this task.\u201d It will understand your request and will provide you with the expected results. This version is recommended if you are new to these kinds of tools.<\/p>\n\n\n\n

        If you are new to AI-based tools for coding,<\/a> it is recommended that you use the Code Llama Instruct version. It is easy to use and does not require complicated commands.<\/p>\n\n\n\n

        Read More: <\/strong>How AI and Edge are transforming smart applications<\/a><\/p>\n\n\n\n

        Code Llama Model Sizes 7B vs 13B vs 34B vs 70B Explained<\/strong><\/h2>\n\n\n\n
        \"Code<\/figure>\n\n\n\n

        Code Llama Models<\/a> come in different sizes, measured in parameters. You can think of this as \u201cbrain power.\u201d Larger models are generally more capable and produce better results, but they also require more powerful hardware to run smoothly. Here is a simple breakdown:<\/p>\n\n\n\n

          \n
        1. 7B Model<\/strong><\/li>\n<\/ol>\n\n\n\n

          Light and fast. It can run on most laptops and is good for quick code suggestions and simple tasks. This is a great starting point.<\/p>\n\n\n\n

            \n
          1. 13B Model<\/strong><\/li>\n<\/ol>\n\n\n\n

            Balanced option. It is smarter than 7B and still works well on mid range systems. Good for regular coding tasks.<\/p>\n\n\n\n

              \n
            1. 34B Model<\/strong><\/li>\n<\/ol>\n\n\n\n

              More powerful. It gives better results for complex problems but needs a good GPU to run properly. Useful for bigger projects.<\/p>\n\n\n\n

                \n
              1. 70B Model<\/strong><\/li>\n<\/ol>\n\n\n\n

                Highest performance. It gives the best results but requires very strong hardware or cloud access. Mostly used for advanced or large scale work.<\/p>\n\n\n\n

                Simple tip:<\/strong> Start with the 7B or 13B model. Only move to bigger models if you need better results. For most everyday coding tasks, smaller models work really well.<\/p>\n\n\n\n

                How To Run Code Llama 3 Easy Ways<\/strong><\/h2>\n\n\n\n

                There are three ways to use Code Llama. You can select any of these options depending on your comfort with setup and whether you want to use it on your computer or online.<\/p>\n\n\n\n

                Way 1: Use Ollama to Run Code Llama on Your Computer<\/strong><\/h3>\n\n\n\n

                Ollama is a simple tool that lets you run Code Llama on your own system. You do not need cloud access or any API key.<\/p>\n\n\n\n

                Step 1 Install Ollama<\/strong><\/p>\n\n\n\n

                Go to ollama.com<\/a> and download it for your system like Windows, Mac, or Linux. It only takes a minute.<\/p>\n\n\n\n

                Step 2 Download the model<\/strong><\/p>\n\n\n\n

                Open your terminal and run this command to download Code Llama:<\/p>\n\n\n\n

                ollama pull codellama<\/p>\n\n\n\n

                Step 3 Start using it<\/strong><\/p>\n\n\n\n

                Run the model and start chatting. You can ask it to write or fix code.<\/p>\n\n\n\n

                # Step 1 Download the model<\/strong><\/p>\n\n\n\n

                ollama pull codellama<\/p>\n\n\n\n

                # Step 2 Run it<\/strong><\/p>\n\n\n\n

                ollama run codellama<\/p>\n\n\n\n

                # Step 3 Type your prompt<\/strong><\/p>\n\n\n\n

                Write a Python function to check if a number is prime<\/p>\n\n\n\n

                Way 2: Use Hugging Face No Installation Needed<\/strong><\/h3>\n\n\n\n

                If you do not want to install anything, you can use Code Llama online.<\/p>\n\n\n\n

                Go to huggingface.co<\/a>, search for Code Llama, and use it directly in your browser. It may be a bit slower, but there is no setup required.<\/p>\n\n\n\n

                Hugging Face <\/a>is like a big library of AI models where you can try different tools for free.<\/p>\n\n\n\n

                Way 3: Use It Inside VS Code<\/strong><\/h3>\n\n\n\n

                This method is useful if you want to use Code Llama while coding.<\/p>\n\n\n\n

                Step 1 Install Continue extension
                <\/strong>Open VS Code, go to Extensions, search for Continue, and install it. You can also install it by clicking here:                 Continue extension<\/a><\/p>\n\n\n\n

                Step 2 Connect with Ollama<\/strong>
                <\/strong>In the extension settings, select Ollama and choose your Code Llama model.<\/p>\n\n\n\n

                Step 3 Start coding<\/strong>
                <\/strong>Now you can highlight your code and ask it to explain, improve, or fix it instantly.<\/p>\n\n\n\n

                Final Tip : <\/strong>If you are a beginner, start with Ollama or Hugging Face. Once you are comfortable, try using it inside VS Code for a better coding experience.<\/p>\n\n\n\n

                \ud83d\udca1 Did You Know?<\/strong>

                Code Llama was trained on around 500 billion tokens of code, which is like reading almost every public GitHub project many times, so it has seen a huge amount of code already. It can also handle up to 100,000 tokens at once, which means it can read a very large amount of code in one go. In simple terms, you can even paste a full small or medium project and ask what is wrong, and it can actually understand and help fix it.<\/div>\n\n\n\n

                Code Llama Features and Real World Uses<\/strong><\/h2>\n\n\n\n
                \"Code<\/figure>\n\n\n\n

                Code Llama is not only used for coding. It can assist you in numerous ways while you code. Some of the most beneficial uses of Code Llama include:<\/p>\n\n\n\n

                  \n
                1. Code Generation<\/strong><\/li>\n<\/ol>\n\n\n\n

                  You can simply describe what you need in plain English, and it will write your code for you. It is used for functions, classes, and even APIs.<\/p>\n\n\n\n

                    \n
                  1. Code Explanation<\/strong><\/li>\n<\/ol>\n\n\n\n

                    If you see any code that you do not understand, you simply paste that code in Code Llama and ask what that code is doing. It will explain that code in plain English.<\/p>\n\n\n\n

                      \n
                    1. Bug Fixing<\/strong><\/li>\n<\/ol>\n\n\n\n

                      If your code is not working, simply paste your code in Code Llama and ask it to find your bugs. It will quickly point out your bugs.<\/p>\n\n\n\n

                        \n
                      1. Refactoring<\/strong><\/li>\n<\/ol>\n\n\n\n

                        If your code is not in order, simply paste your code in Code Llama and ask it to make your code neat. It will make your code more readable and increase its performance.<\/p>\n\n\n\n

                          \n
                        1. Writing Tests<\/strong><\/li>\n<\/ol>\n\n\n\n

                          You can simply ask Code Llama to write tests for your code. It supports tools like pytest, Jest, JUnit, etc.<\/p>\n\n\n\n

                            \n
                          1. Code Completion<\/strong><\/li>\n<\/ol>\n\n\n\n

                            You can simply ask Code Llama to complete your code. You simply write your code, and it will complete your code.<\/p>\n\n\n\n

                            Simple Example Using Code Llama<\/strong><\/h2>\n\n\n\n

                            Prompt:<\/strong>
                            <\/strong>Write a Python function that takes a list of numbers, removes duplicates, sorts them in descending order, and returns the top 3 values.<\/p>\n\n\n\n

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

                            def top_three_unique(numbers):\n\n    \"\"\"Return the top 3 unique values from a list, sorted descending.\"\"\"\n\n    unique_sorted = sorted(set(numbers), reverse=True)\n\n    return unique_sorted[:3]\n\n# Example usage\n\nnums = [5, 3, 9, 3, 7, 9, 1]\n\nprint(top_three_unique(nums))  # Output: [9, 7, 5]<\/code><\/pre>\n\n\n\n
                            This shows how easily Code Llama can understand your request and give you working code in seconds.<\/p>\n\n\n\n
                            Simple Tips to Get Better Results from Code Llama<\/strong><\/h2>\n\n\n\n
                            The quality of the output depends on how you ask. If you give clear instructions, you will get better results. Here are some simple tips that actually work:<\/p>\n\n\n\n
                              \n
                            1. Be specific about the language<\/strong><\/li>\n<\/ol>\n\n\n\n
                              Instead of saying \u201cwrite a function,\u201d say \u201cwrite a JavaScript function.\u201d This helps avoid confusion and gives better results.<\/p>\n\n\n\n
                                \n
                              1. Give proper context<\/strong><\/li>\n<\/ol>\n\n\n\n
                                Do not just say \u201cfix this bug.\u201d Explain the problem clearly. For example, \u201cThis Python function should calculate fibonacci numbers but it returns None.\u201d More details help the AI understand better.<\/p>\n\n\n\n
                                  \n
                                1. Ask for explanations<\/strong><\/li>\n<\/ol>\n\n\n\n
                                  You can ask it to explain the code as well. For example, \u201cwrite the function and explain each line.\u201d This is very helpful for learning.<\/p>\n\n\n\n
                                    \n
                                  1. Use fill in the middle<\/strong><\/li>\n<\/ol>\n\n\n\n
                                    You can write the start and end of your code and ask it to complete the middle part. This is a very useful feature.<\/p>\n\n\n\n
                                      \n
                                    1. Improve step by step<\/strong><\/li>\n<\/ol>\n\n\n\n
                                      If the first result is not perfect, do not start again. Just ask it to improve. For example, \u201cmake it handle empty lists.\u201d This helps you get better results faster.<\/p>\n\n\n\n
                                        \n
                                      1. Ask for tests first<\/strong><\/li>\n<\/ol>\n\n\n\n
                                        You can ask it to write test cases first and then the code. This often gives cleaner and more reliable results.<\/p>\n\n\n\n
                                        Common Mistakes to Avoid When Using Code Llama<\/strong><\/h2>\n\n\n\n
                                        Code Llama is a powerful tool, but you need to use it carefully. Avoid these common mistakes to get better results:<\/p>\n\n\n\n
                                          \n
                                        1. Always check the output<\/strong><\/li>\n<\/ol>\n\n\n\n
                                          Even though it gives good results, it can still make mistakes. Always read and understand the code before using it.<\/p>\n\n\n\n
                                            \n
                                          1. Do not trust it completely<\/strong><\/li>\n<\/ol>\n\n\n\n
                                            Do not copy and paste code without checking it. Make sure you understand what the code is doing before using it.<\/p>\n\n\n\n
                                              \n
                                            1. Avoid unclear prompts<\/strong><\/li>\n<\/ol>\n\n\n\n
                                              Do not say \u201cfix my code\u201d without giving details. Always share the code and clearly explain the problem.<\/p>\n\n\n\n
                                                \n
                                              1. Do not always choose the biggest model<\/strong><\/li>\n<\/ol>\n\n\n\n
                                                Bigger models are not always better. Start with smaller ones like 7B or 13B. They are faster and work well for most tasks.<\/p>\n\n\n\n
                                                  \n
                                                1. Do not stop after one wrong answer<\/strong><\/li>\n<\/ol>\n\n\n\n
                                                  If the result is not correct, try again. Change your prompt, add more details, or break the problem into smaller parts.<\/p>\n\n\n\n
                                                  If you\u2019re serious about learning how to use Code Llama and build real-world applications, HCL GUVI\u2019s Intel & IITM Pravartak Certified Artificial Intelligence and Machine Learning Course<\/a> is a great place to start. This live online program is taught by Intel engineers and industry experts. You\u2019ll also get access to 1:1 doubt-clearing sessions with top SMEs, work on 20+ industry-grade projects including a capstone project, learn in your preferred language, and benefit from placement assistance through 1000+ hiring partners.<\/p>\n\n\n\n
                                                  Final Thoughts<\/strong><\/h2>\n\n\n\n
                                                  Code Llama is one of the most useful tools for developers today. It does not replace developers, but it makes coding easier and faster. Tasks that take time, like writing basic code, remembering syntax, or fixing bugs, can be done quickly with its help.<\/p>\n\n\n\n
                                                  If you forget something like a regex or get stuck on a bug, you can simply ask and get help instantly. It feels like having an extra helper while coding.<\/p>\n\n\n\n
                                                  Another big advantage is that it is free and open source. You can run it on your own computer, so your code stays private and you stay in control. Overall, Code Llama is a great tool to learn faster, save time, and improve your coding experience.<\/p>\n\n\n\n
                                                  FAQs<\/strong><\/h2>\n\n\n
                                                  \n
                                                  \n
                                                  \n
                                                  1. Is Code Llama free to use?<\/strong><\/h3>\n
                                                  \n\n
                                                  Yes, Code Llama is completely free and open source. You can use it without any subscription.<\/p>\n\n<\/div>\n<\/div>\n
                                                  \n
                                                  2. Which Code Llama version is best for beginners?<\/strong><\/h3>\n
                                                  \n\n
                                                  Code Llama Instruct is best for beginners because it understands simple English and is easy to use.<\/p>\n\n<\/div>\n<\/div>\n
                                                  \n
                                                  3. Can I run Code Llama on my own computer?<\/strong><\/h3>\n
                                                  \n\n
                                                  Yes, you can run it locally using tools like Ollama without needing cloud access.<\/p>\n\n<\/div>\n<\/div>\n
                                                  \n
                                                  4. Which model size should I start with?<\/strong><\/h3>\n
                                                  \n\n
                                                  It is best to start with the 7B or 13B model as they are faster and work well for most tasks.<\/p>\n\n<\/div>\n<\/div>\n
                                                  \n
                                                  5. What can Code Llama be used for?<\/strong><\/h3>\n
                                                  \n\n
                                                  It can generate code, explain code, fix bugs, improve code quality, and even write test cases.<\/p>\n\n<\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"
                                                  Imagine having a coding buddy who never sleeps, never gets tired, and never judges you for googling \u201chow to center a div\u201d again and again. That\u2019s what Code Llama feels like. Code Llama is a free, open-source AI made by Meta (the company behind Facebook). It can help you write code, finish your code, explain […]<\/p>\n","protected":false},"author":22,"featured_media":110012,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[933],"tags":[],"views":"585","authorinfo":{"name":"Lukesh S","url":"https:\/\/www.guvi.in\/blog\/author\/lukesh\/"},"thumbnailURL":"https:\/\/www.guvi.in\/blog\/wp-content\/uploads\/2026\/03\/How-To-Use-Code-Llama-300x116.webp","jetpack_featured_media_url":"https:\/\/www.guvi.in\/blog\/wp-content\/uploads\/2026\/03\/How-To-Use-Code-Llama.webp","_links":{"self":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts\/105135"}],"collection":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/users\/22"}],"replies":[{"embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/comments?post=105135"}],"version-history":[{"count":5,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts\/105135\/revisions"}],"predecessor-version":[{"id":110018,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts\/105135\/revisions\/110018"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/media\/110012"}],"wp:attachment":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/media?parent=105135"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/categories?post=105135"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/tags?post=105135"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}