



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: 'anthracite-org/magnum-v4-72b',
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="anthracite-org/magnum-v4-72b",
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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Product Detail
✨ Introducing Magnum V4 72B: Advanced Language AI
Discover Magnum V4 72B, a cutting-edge Large Language Model (LLM) crafted by the Anthracite Organization. Released on October 20, 2024, this model (Version 0.1) is engineered to deliver unparalleled text generation, closely replicating the sophisticated prose and contextual depth found in advanced models like Claude 3 Sonnet and Opus. It is designed for diverse applications requiring high-quality, coherent, and rich language output.
Key Details
- Model Name: Magnum V4 72B
- Developer/Creator: Anthracite Organization
- Release Date: October 20, 2024
- Version: 0.1
- Model Type: Large Language Model (LLM)
🚀 Performance & Features
Magnum V4 72B is a powerful LLM, meticulously fine-tuned on top of Qwen2.5. Its core mission is to provide exceptional prose quality, mimicking the stylistic elegance and contextual richness of the Claude 3 family. This makes it an ideal choice for applications demanding high-fidelity language generation and nuanced understanding.
Advanced Features
- ✓ 72 Billion Parameters: Enables sophisticated language understanding and generation capabilities.
- ✓ Extensive Context Length: Supports up to 32,768 tokens, facilitating prolonged, contextually rich dialogues and complex document analysis.
- ✓ Instruction-Tuned: Optimized for enhanced performance across a wide array of specific tasks and prompt formats.
- ✓ Advanced Tokenization: Boasts a comprehensive vocabulary size of 152,064, capturing intricate linguistic nuances.
- ✓ Multi-Language Support: Offers robust support for English, French, German, Spanish, Italian, Portuguese, Russian, Chinese, and Japanese, catering to global applications.
Ideal Use Cases
Magnum V4 72B is highly versatile and perfectly suited for a broad spectrum of applications, including:
- ✍ Advanced Content Creation, Summarization, and Generation
- 💬 Intelligent Automated Customer Support Systems and Chatbots
- 📚 Dynamic Interactive Storytelling and Gaming Experiences
- 💬 Any scenario demanding high-quality, nuanced conversational AI
⚙️ Technical Specifications & Training
Underlying Architecture
Magnum V4 is engineered based on the industry-standard Transformer architecture, specifically leveraging the Qwen2ForCausalLM framework for its robust capabilities. Key architectural details include:
- Layers: 40
- Hidden Dimension: 14,336
- Number of Heads: 32
- Activation Function: GELU
- Data Type: bfloat16 (ensuring efficient computation and memory usage)
Training Methodology
The model was trained on an extensive and diverse dataset, carefully curated to enhance its dialogue capabilities and general language understanding.
- Data Sources: A rich compilation of chat logs and instructional texts, designed to improve conversational effectiveness.
- Knowledge Cutoff: The model's knowledge base is current as of September 2024.
- Diversity & Bias Mitigation: The training data was rigorously selected to maximize diversity in topics and dialogue styles while actively minimizing inherent biases, ensuring fair and broad applicability.
Performance Highlights
Magnum V4 consistently demonstrates competitive performance across various linguistic benchmarks:
- Accuracy: Achieves high accuracy in generating contextually relevant and precise responses.
- Coherence: Exhibits strong ability to maintain logical consistency and narrative flow over extended and complex dialogues.
💻 Accessing Magnum V4 72B
The Magnum V4 72B model is conveniently available for integration on the AI/ML API platform.
Code Samples for Integration
Integrate Magnum V4 72B into your applications with ease. The model is listed as "Magnum v4 72B" on the platform. Below is a conceptual Python example demonstrating API interaction:
import requests
url = "https://api.ai.cc/v1/chat/completions"
headers = {
"Authorization": "Bearer YOUR_API_KEY",
"Content-Type": "application/json"
}
data = {
"model": "anthracite-org/magnum-v4-72b",
"messages": [
{"role": "system", "content": "You are a helpful AI assistant."},
{"role": "user", "content": "Explain the key features of Magnum V4 72B concisely."}
],
"max_tokens": 150
}
response = requests.post(url, headers=headers, json=data)
print(response.json())
Comprehensive API Documentation
For detailed integration guides, technical specifications, and API endpoints, please refer to the official Magnum V4 72B API Documentation.
Ready to enhance your applications?
➤ Get Magnum V4 72B API Access Here🔒 Ethical AI Use & Licensing
Ethical Guidelines & Responsible Use
The Anthracite Organization is deeply committed to responsible AI development. We promote full transparency regarding Magnum V4's capabilities and its inherent limitations. Users are strongly encouraged to adhere to responsible usage guidelines to prevent any potential misuse or harmful applications of the technology.
Licensing Information
Magnum V4 72B is distributed under a custom license. This license explicitly permits non-commercial usage. For any commercial applications or deployments, explicit permission from the Anthracite Organization is required.
❓ Frequently Asked Questions (FAQs)
Q: What is Magnum V4 72B and who developed it?
A: Magnum V4 72B is a sophisticated Large Language Model (LLM) developed by the Anthracite Organization. It is fine-tuned on Qwen2.5 and aims to match the prose quality of Claude 3 models.
Q: What makes Magnum V4 72B unique?
A: Its unique fine-tuning on Qwen2.5 to replicate Claude 3's prose quality, coupled with 72 billion parameters and a 32,768 token context length, allows for exceptionally coherent and high-quality text generation across various languages.
Q: Which languages does Magnum V4 72B support?
A: It supports a wide range of languages including English, French, German, Spanish, Italian, Portuguese, Russian, Chinese, and Japanese.
Q: Can Magnum V4 72B be used for commercial projects?
A: Magnum V4 72B is licensed under a custom license that permits non-commercial usage. Commercial applications require explicit permission from the Anthracite Organization.
Q: Where can I find the API documentation and access the model?
A: Detailed API documentation is available on the official AI/ML API documentation page. You can get API access here.
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