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Mistral Codestral-2501

Discover Mistral Codestral-2501, an advanced AI model designed for efficient code generation across 80+ programming languages with high performance metrics.

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: 'mistralai/codestral-2501',
    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="mistralai/codestral-2501",
        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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Mistral Codestral-2501

Product Detail

✨ Discover Mistral Codestral-2501: Your Advanced AI Code Generation Partner

Mistral Codestral-2501 stands as a cutting-edge AI model specifically engineered for code generation tasks. Leveraging advanced machine learning techniques, it empowers developers in writing, debugging, and optimizing code across an extensive array of programming languages. With its impressive performance and robust capabilities, Codestral-2501 is set to streamline the coding process and significantly enhance productivity for software developers globally.

Model Overview

Model Name: Mistral Codestral-2501
Developer/Creator: Mistral AI
Release Date: January 13, 2025
Version: 1.0
Model Type: AI Code Generation Model

🚀 Key Features & Capabilities

✅ Extensive Language Support: Proficient in 80+ programming languages, including popular ones like Python, Java, C++, and JavaScript, alongside more niche languages such as Swift and Fortran.
📝 256K Context Window: Enables the model to process larger codebases and understand complex instructions effectively, leading to more coherent and relevant outputs.
💡 Fill-in-the-Middle (FIM) Completion: Users can specify code starting and ending points, allowing for highly targeted and efficient code generation for incomplete snippets.
📊 High Performance on Benchmarks: Achieves impressive scores on critical coding benchmarks: HumanEval (86.6%) and MBPP (80.2%).
⚡ Low Latency & High Frequency: Optimized for real-time code generation tasks, significantly improving response times and developer workflow.

🎯 Intended Use & Applications

Mistral Codestral-2501 is designed for software developers, data scientists, and engineers aiming to boost their coding efficiency. It is particularly beneficial for a range of applications, including:

✍️ Code Generation and Auto-completion
🐛 Debugging Assistance and Error Correction
🔍 Code Reviews and Refactoring Suggestions
🧑‍🏫 Educational Tools requiring interactive coding support

The model primarily supports English for prompts and instructions across its diverse programming language capabilities.

⚙️ Technical Deep Dive

Architecture

Mistral Codestral-2501 employs a sophisticated transformer-based architecture. This design is specifically optimized for low-latency code generation, enabling it to efficiently process vast amounts of text while consistently delivering high-quality, accurate code outputs.

Training Data Insights

The model was rigorously trained on a diverse and extensive dataset, encompassing a wide variety of programming languages and coding styles.

Data Source & Size: The training dataset incorporates numerous publicly available code repositories and comprehensive documentation. Specific dataset sizes are not publicly disclosed by Mistral AI.
Diversity & Bias Mitigation: Data curation prioritized minimizing biases and maximizing diversity across programming languages and coding practices. This careful selection enhances the model's effectiveness in generating varied and fair outputs.

Performance Metrics & Comparative Analysis

For detailed performance metrics and comparative insights against other models, please refer to the visual benchmark provided by Mistral AI:

Mistral Codestral-2501 Performance Benchmarks

Image: Codestral-2501 Performance Benchmarks (Source: Mistral AI)

🚀 Getting Started with Codestral-2501

Access & Code Samples

Mistral Codestral-2501 is readily available on the AI/ML API platform under the model name "Mistral Codestral-2501". Code samples and interactive demonstrations can typically be found within the platform or linked from its documentation.

API Documentation

For comprehensive details on integration, endpoints, and usage parameters, please consult the official API Documentation.

⚖️ Ethical Guidelines & Responsible AI

Mistral AI is deeply committed to ethical considerations in AI development. The organization promotes transparency regarding the model's capabilities and inherent limitations. Users are strongly encouraged to engage in responsible usage to prevent any misuse or potentially harmful applications of generated content, upholding the highest standards of AI ethics.

📝 Licensing Information

Mistral Codestral-2501 is provided under a commercial license. This license grants both research and commercial usage rights, ensuring compliance with ethical standards and respecting creator rights. For full terms, please refer to the licensing agreement.

❓ Frequently Asked Questions (FAQ)

Q1: What programming languages does Mistral Codestral-2501 support?

A1: It supports over 80 programming languages, including major ones like Python, Java, C++, JavaScript, and many others, enabling broad applicability for developers.

Q2: How does Codestral-2501 enhance developer productivity?

A2: With features like a 256K context window, Fill-in-the-Middle (FIM) completion, and optimized low latency, it streamlines code generation, debugging, and review processes, significantly boosting efficiency.

Q3: What are the key performance benchmarks for this model?

A3: Mistral Codestral-2501 achieves high scores on industry benchmarks, including HumanEval (86.6%) and MBPP (80.2%), demonstrating its strong capability in various coding tasks.

Q4: Is Codestral-2501 suitable for commercial projects?

A4: Yes, it is available under a commercial license that permits both research and commercial usage, adhering to ethical standards and creator rights.

Ready to revolutionize your coding? Get the Mistral Codestral-2501 API here.

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