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MiniMax-Text-01

Discover MiniMax-Text-01, an advanced language model designed for efficient long-context processing with superior performance metrics and open-source availability.

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: 'MiniMax-Text-01',
    messages: [
      {
        role: 'system',
        content: 'You are an AI assistant who knows everything.',
      },
      {
        role: 'user',
        content: 'Tell me, why is the sky blue?'
      }
    ],
  });

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

main();

                                        import os
from openai import OpenAI

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

response = client.chat.completions.create(
    model="MiniMax-Text-01",
    messages=[
        {
            "role": "system",
            "content": "You are an AI assistant who knows everything.",
        },
        {
            "role": "user",
            "content": "Tell me, why is the sky blue?"
        },
    ],
)

message = response.choices[0].message.content

print(f"Assistant: {message}")

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MiniMax-Text-01

Product Detail

💡MiniMax-Text-01: Unleashing Advanced AI Capabilities

Discover MiniMax-Text-01, a cutting-edge Large Language Model (LLM) engineered by MiniMax AI to revolutionize tasks demanding extensive context processing and sophisticated reasoning. Launched on January 15, 2025, this version 1.0 model sets new standards for performance and efficiency in the AI landscape, featuring a total of 456 billion parameters.

Basic Information

Model Name: MiniMax-Text-01
Developer: MiniMax AI
Release Date: January 15, 2025
Version: 1.0
Model Type: Large Language Model (LLM)

Key Capabilities

✅Extended Context Length: Processes up to 1 million tokens during training; handles inference contexts up to 4 million tokens.
✅Hybrid Architecture: Integrates Lightning Attention, Softmax Attention, and Mixture-of-Experts (MoE) for superior context handling.
✅Efficient Parameter Usage: Activates only 45.9 billion parameters per token, optimizing computational resources.
✅Top Benchmark Performance: Achieves competitive scores on academic benchmarks, including MMLU and various reasoning tests.
✅Open-Source Availability: Released under an MIT license, facilitating broad research and commercial usage.

💰API Pricing

Unlock the advanced capabilities of MiniMax-Text-01 with our transparent API pricing structure:

Input Tokens: $0.21 per million tokens
Output Tokens: $1.155 per million tokens

🎯Ideal for Deep Reasoning & Long-Context Applications

MiniMax-Text-01 is expertly tailored for software developers, researchers, and data scientists who demand top-tier natural language processing. It excels in applications that require:

Deep Reasoning: Solving complex analytical problems and intricate logical challenges.
Long-Context Processing: Comprehending and generating content within very long documents or conversational histories.
Efficient Handling of Large Datasets: Processing and extracting valuable insights from massive information stores.

While its primary support is for English, MiniMax-Text-01 is designed to accommodate multiple languages, adapting to diverse user requirements.

⚙️Technical Deep Dive: Architecture & Training

Model Architecture

MiniMax-Text-01 employs a sophisticated architecture for unparalleled performance:

Total Parameters: 456 billion
Activated Parameters per Token: 45.9 billion
Number of Layers: 80
Attention Mechanisms:
- Hybrid approach: Softmax attention following every 7 Lightning attention layers.
- Number of attention heads: 64
- Attention head dimension: 128
Mixture of Experts (MoE): Incorporates 32 experts with a top-2 routing strategy for dynamic processing.
Positional Encoding: Utilizes Rotary Position Embedding (RoPE) with a base frequency of 10,000.

Comprehensive Training Data

The model was rigorously trained on a diverse and extensive dataset to ensure robustness and versatility:

Data Source & Size: Comprises approximately 14.8 trillion tokens sourced from publicly available texts and a wide array of code repositories.
Diversity & Bias Mitigation: The training data was meticulously curated to minimize biases and maximize diversity in topics and styles, enhancing the model's ability to generate varied and unbiased outputs.

Performance Metrics Visualized

MiniMax-Text-01 Performance Benchmarks — Comparative scores of MiniMax-Text-01 on key academic benchmarks.

🚀Getting Started with MiniMax-Text-01

Integrate MiniMax-Text-01 seamlessly into your projects. It's readily accessible on the AI/ML API platform, identified as "MiniMax-Text-01".

Access Comprehensive API Documentation

Detailed API Documentation is available to guide you through integration and usage.

For quick implementation, utilize the provided code samples:

      <snippet data-name="open-ai.chat-completion" data-model="MiniMax-Text-01"></snippet>
    

Get MiniMax-Text-01 API Access Now

⚖️Ethical Usage & Licensing Details

Ethical AI Development Principles

MiniMax AI upholds a strong commitment to ethical considerations in AI development. We prioritize transparency regarding MiniMax-Text-01's capabilities and inherent limitations. Users are strongly encouraged to practice responsible usage, actively working to prevent any misuse or potential harmful applications of content generated by the model.

Open-Source MIT License

MiniMax-Text-01 is released under a permissive open-source MIT license. This license grants extensive rights, permitting both academic research and commercial usage, while simultaneously ensuring compliance with ethical standards and upholding creator rights.

❓Frequently Asked Questions (FAQ)

1. What is MiniMax-Text-01 and who developed it?

MiniMax-Text-01 is a cutting-edge Large Language Model (LLM) developed by MiniMax AI. It specializes in tasks requiring extensive context processing and advanced reasoning capabilities.

2. What are the key architectural features of MiniMax-Text-01?

It boasts a hybrid architecture integrating Lightning Attention, Softmax Attention, and a powerful Mixture-of-Experts (MoE) system with 32 experts, enabling it to process inference contexts up to 4 million tokens.

3. Under what license is MiniMax-Text-01 available?

MiniMax-Text-01 is released under an open-source MIT license, granting users extensive rights for both research and commercial applications while upholding ethical standards.

4. Where can I find API documentation and access the model?

Comprehensive API Documentation is available online. You can access the MiniMax-Text-01 API on the AI/ML API platform.

5. What languages does MiniMax-Text-01 support?

The model primarily supports English but is designed to accommodate multiple languages depending on specific user requirements and configurations.

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