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Code Llama Instruct (34B)

Elevate your coding with Code Llama Instruct (34B) API, an AI model specialized in following complex instructions and generating precise code. Ideal for developers seeking high-level programming assistance.

Free $1 Tokens for New Members

Text to Speech

Javascript

Python

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

const api = new OpenAI({
  baseURL: 'https://api.ai.cc/v1',
  apiKey: '',
});

const main = async () => {
  const result = await api.chat.completions.create({
    model: 'codellama/CodeLlama-34b-Instruct-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();

                                        import os
from openai import OpenAI


def main():
    client = OpenAI(
        api_key="",
        base_url="https://api.ai.cc/v1",
    )

    response = client.chat.completions.create(
        model="codellama/CodeLlama-34b-Instruct-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?",
            },
        ],
    )

    message = response.choices[0].message.content
    print(f"Assistant: {message}")   

if __name__ == "__main__":
    main()

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Code Llama Instruct (34B)

Product Detail

Unleashing Advanced Code Generation with Code Llama Instruct (34B)

Code Llama Instruct (34B) represents a cutting-edge AI model meticulously engineered for advanced code generation. Built on a vast neural network, this model demonstrates exceptional proficiency in understanding and executing complex programming instructions, consistently delivering accurate and efficient code solutions. It serves as a powerful tool for software engineers and developers aiming to optimize their development workflows. The seamless API integration capabilities further cement its role as an invaluable asset in modern software development.

✨Setting New Benchmarks: Code Llama Instruct (34B) vs. Other Models

What truly differentiates Code Llama Instruct (34B) is its unparalleled ability to precisely interpret and execute highly complex instructions. This capability places it significantly ahead of smaller models, such as Code Llama Python (7B), in terms of task comprehension and solution delivery. Furthermore, its performance is highly competitive with the largest AI models in the coding domain, ensuring detailed, context-aware, and high-quality code generation for even the most demanding projects.

💡Maximizing Efficiency: Best Practices for Code Llama Instruct (34B)

✓ Provide Detailed & Clear Instructions: The more specific and unambiguous your prompts, the greater the accuracy and relevance of the generated code will be. Clarity is key.
✓ Employ Iterative Refinement: Utilize successive prompts to fine-tune and optimize the initial code output. This iterative feedback loop significantly enhances the quality of the final solution.
✓ Explore Diverse Coding Scenarios: Leverage the model's vast capabilities across a wide array of programming tasks and challenges to discover its full potential.

✍️The Art of Prompt Engineering for Superior Code Generation

The success of Code Llama Instruct (34B) in delivering highly targeted and functional code is directly dependent on the specificity and clarity of the prompts provided. Crafting detailed and well-defined instructions is paramount for achieving desired coding outcomes. By investing time in meticulous prompt engineering, developers can significantly enhance the accuracy, efficiency, and overall utility of the generated code.

🚀Seamless Integration: Navigating Code Llama Instruct (34B) API Calls

Code Llama Instruct (34B) provides comprehensive API functionalities, offering flexible integration options for various development projects. Developers can choose between synchronous requests for immediate code generation and asynchronous processing for more complex or time-consuming tasks. A clear understanding of these API options is crucial for effectively integrating the model's capabilities, thereby optimizing development efficiency and productivity.

💻API Example

<!-- This section represents an embedded API snippet for Code Llama Instruct (34B) -->
<div data-name="open-ai.chat-completion-code" data-model="codellama/CodeLlama-34b-Instruct-hf">
  // Placeholder for your actual API integration code or component.
  // Example: JavaScript fetch request for code generation
  // fetch('https://api.example.com/codellama/generate', {
  //   method: 'POST',
  //   headers: { 'Content-Type': 'application/json' },
  //   body: JSON.stringify({
  //     model: 'codellama/CodeLlama-34b-Instruct-hf',
  //     prompt: 'Generate a Python function to sort a list of numbers using quicksort.'
  //   })
  // })
  // .then(response => response.json())
  // .then(data => console.log('Generated code:', data.code))
  // .catch(error => console.error('API Error:', error));
</div>

Frequently Asked Questions (FAQ)

Q1: What are the primary benefits of using Code Llama Instruct (34B)?
A: It offers highly accurate and efficient code generation by deeply understanding complex instructions, significantly streamlining development workflows for engineers and developers.

Q2: How does Code Llama Instruct (34B) compare to smaller AI coding models?
A: It surpasses smaller models in its ability to interpret and execute intricate instructions, providing more precise and context-aware code solutions for advanced programming tasks.

Q3: What is the importance of detailed prompts when using this model?
A: Detailed and specific prompts are crucial as they directly impact the accuracy and functionality of the generated code, ensuring outputs align precisely with desired requirements.

Q4: Can Code Llama Instruct (34B) be integrated into existing development environments?
A: Yes, it supports diverse API functionalities, including synchronous and asynchronous requests, enabling flexible and seamless integration into various development projects and workflows.

Q5: Is Code Llama Instruct (34B) limited to specific programming languages?
A: As an instruct model, it is designed to handle a broad spectrum of programming tasks, implying support across various languages, making it a versatile tool for diverse coding challenges.

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