Code Llama

Freemium

Revolutionize Coding with Code Llama

Introduction:

Ready to elevate your coding game? Discover Code Llama, the AI-driven tool designed for next-level code generation and understanding.

Code Llama, built on the advanced Llama 2 platform, offers specialized models for different coding needs: foundational code modeling, Python-specific tasks, and natural language instruction understanding. Whether you’re a novice or an expert, Code Llama has you covered.

Select from models with 7B to 34B parameters, each uniquely suited for tasks like code completion and debugging in languages including Python, C , and Java. Experience efficiency with Code Llama’s tailored solutions, from quick assists to comprehensive coding support.

Standout features include the Python-focused Code Llama – Python and the instruction-oriented Code Llama – Instruct, ensuring precision in your coding projects.

Code Llama excels in industry benchmarks and is developed with a focus on safety and responsibility. It’s not just a tool; it’s your partner in coding, streamlining your workflow, enhancing learning, and assisting in the creation of superior code.

Step into the future of coding with Code Llama – where innovation meets practicality.

Overview:

Code Llama is a state-of-the-art large language model (LLM) designed specifically for generating code and natural language about code. It is built on top of Llama 2 and is available in three different models: Code Llama (foundational code model), Codel Llama – Python (specialized for Python), and Code Llama – Instruct (fine-tuned for understanding natural language instructions). Code Llama can generate code and natural language about code based on prompts from both code and natural language inputs. It can be used for tasks such as code completion and debugging in popular programming languages like Python, C , Java, PHP, Typescript, C#, and Bash.

Code Llama comes in different sizes with varying parameters, such as 7B, 13B, and 34B. These models have been trained on a large amount of code and code-related data. The 7B and 13B models have fill-in-the-middle capability, enabling them to support code completion tasks. The 34B model provides the best coding assistance but may have higher latency. The models can handle input sequences of up to 100,000 tokens, allowing for more context and relevance in code generation and debugging scenarios.

Additionally, Code Llama has two fine-tuned variations: Code Llama – Python, which is specialized for Python code generation, and Code Llama – Instruct, which has been trained to provide helpful and safe answers in natural language. It is important to note that Code Llama is not suitable for general natural language tasks and should be used solely for code-specific tasks.

Code Llama has been benchmarked against other open-source LLMs and has demonstrated superior performance, scoring high on coding benchmarks such as HumanEval and Mostly Basic Python Programming (MBPP). Responsible development and safety measures have been undertaken in the creation of Code Llama.

Overall, Code Llama is a powerful and versatile tool that can enhance coding workflows, assist developers, and aid in learning and understanding code.

Benefits:

Code Llama is a state-of-the-art large language model designed specifically for generating code and natural language about code.
It can generate code and natural language about code based on prompts from both code and natural language inputs.
Code Llama can be used for tasks such as code completion and debugging in popular programming languages like Python, C , Java, PHP, Typescript, C#, and Bash.
It comes in different sizes with varying parameters, allowing for more context and relevance in code generation and debugging scenarios.
Code Llama has been benchmarked against other open-source large language models and has demonstrated superior performance in coding benchmarks.