Code Llama Python (70B)

Unlock the full potential of AI in coding with Code Llama Python (70B) API. This 70 billion parameter model specializes in understanding and generating Python code, offering unparalleled assistance in software development.

Try it now

Create a chat completion

const { OpenAI } = require('openai');

const api = new OpenAI({
  baseURL: 'https://api.aimlapi.com/v1,
  apiKey: '<YOUR_API_KEY>',
});

const main = async () => {
  const result = await api.chat.completions.create({
    model: 'codellama/CodeLlama-70b-Python-hf',
    messages: [
      {
        role: 'system',
        content: 'You are SQL code assistant.',
      },
      {
        role: 'user',
        content: 'Could you please provide me with an example of a database structure that I could use for a project in MySQL?'
      }
    ],
  });

  const message = result.choices[0].message.content;
  console.log(\`Assistant: \${message}\`);
};

main();

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Code Llama Python (70B)

Master coding with Code Llama Python (70B) API

The Model

Code Llama Python (70B) is a cutting-edge AI model specifically designed for Python programming. With 70 billion parameters, it boasts an advanced understanding of coding patterns, syntax, and logic, making it an exceptional tool for generating and optimizing code. This model can assist developers in creating more efficient, error-free, and innovative Python applications.

Use Cases for the Model

This model is ideal for automating code generation, debugging, and code reviews. It can help developers write code faster, identify and fix bugs more efficiently, and even generate entire scripts or functions based on high-level requirements. Code Llama Python (70B) is also an invaluable resource for educational purposes, assisting in learning Python and understanding complex programming concepts.

How does it compare to other models?

Code Llama Python (70B) stands out due to its specialized focus on Python and its vast parameter size, allowing for a deeper understanding and more sophisticated code generation capabilities than smaller models. This specialization makes it more effective in handling complex Python coding tasks and providing accurate, context-aware coding suggestions.

Tips for Maximizing Interaction Quality

To get the most out of Code Llama Python (70B), provide clear and concise coding requirements or questions. The model performs best when given detailed context and specific objectives, allowing it to generate or suggest code that closely aligns with the user's needs.

Optimizing for Different Scenarios

The flexibility of Code Llama Python (70B) enables it to cater to a wide range of coding tasks, from simple code snippets to complex algorithms and software architecture designs. By fine-tuning the model for specific coding styles or project requirements, developers can leverage its full potential to streamline their Python programming tasks and innovate more effectively.

API Example

Create a chat completion

const { OpenAI } = require('openai');

const api = new OpenAI({
  baseURL: 'https://api.aimlapi.com/v1,
  apiKey: '<YOUR_API_KEY>',
});

const main = async () => {
  const result = await api.chat.completions.create({
    model: 'codellama/CodeLlama-70b-Python-hf',
    messages: [
      {
        role: 'system',
        content: 'You are SQL code assistant.',
      },
      {
        role: 'user',
        content: 'Could you please provide me with an example of a database structure that I could use for a project in MySQL?'
      }
    ],
  });

  const message = result.choices[0].message.content;
  console.log(\`Assistant: \${message}\`);
};

main();