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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: 'nvidia/llama-3.1-nemotron-70b-instruct',
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="nvidia/llama-3.1-nemotron-70b-instruct",
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
🚀 Llama 3.1 Nemotron 70B Instruct: Advanced LLM by NVIDIA
✨ Overview & Core Information
The Llama 3.1 Nemotron 70B Instruct is a cutting-edge Large Language Model (LLM) engineered by NVIDIA. Released on October 15, 2024 (Version 1.0), this model is specifically designed to excel in complex instruction-following tasks, delivering highly accurate and human-like responses across diverse applications.
It stands out with its robust architecture and advanced training methodologies, making it a powerful tool for developers and businesses seeking state-of-the-art AI capabilities.
- Model Name: Llama 3.1 Nemotron 70B Instruct
- Developer: NVIDIA
- Release Date: October 15, 2024
- Model Type: Large Language Model (LLM)
💡 Key Features & Capabilities
Llama 3.1 Nemotron 70B Instruct is packed with features that set it apart:
- ✅ 70 Billion Parameters: Enables incredibly complex text generation and understanding.
- 🎯 Instruction-Following Excellence: Optimized for high accuracy in tasks requiring precise instruction interpretation.
- 🧠 Extended Context Length: Processes up to 128k tokens, ideal for handling extensive inputs and maintaining context.
- 🏆 Top-Tier Performance: Achieves an impressive Arena Hard score of 85.0 and leads in multiple automatic alignment benchmarks.
- ⚡ Real-time Optimization: Seamlessly integrated with NVIDIA's Inference Model (NIM) for superior real-time performance.
- 🌐 Multilingual Support: Capable of understanding and generating text in multiple languages, broadening its global applicability.
🛠️ Intended Applications
This model is highly versatile and primarily intended for applications where accurate and coherent instruction following is paramount:
- Virtual Assistants & Chatbots: Powering intelligent conversational agents.
- Customer Service: Automating and enhancing support interactions.
- Content Generation: Creating diverse forms of written content.
- Educational Tools: Supporting learning platforms with interactive and accurate information.
Notably, Llama 3.1 Nemotron 70B Instruct is well-suited for patient education, due to its ability to follow complex instructions and reinforcement learning from human feedback, ensuring accuracy in medical inquiries and assessments.
For more insights into AI applications in healthcare, explore: AI in Healthcare: Generative AI Uses & Examples.
⚙️ Technical Specifications
Architecture:
Built upon the highly effective Transformer architecture, the model efficiently captures long-range dependencies in text. Key architectural components include:
- ➡️ Layers: 40
- ➡️ Hidden Dimension: 14,336
- ➡️ Number of Heads: 32
- ➡️ Activation Function: GELU
- ➡️ Precision Type: FP8 for optimized and efficient inference.
Training Data:
The model was rigorously trained using a hybrid approach combining supervised learning and Reinforcement Learning from Human Feedback (RLHF).
- 📚 Data Source & Size: Over 21,000 diverse prompt-response pairs.
- 📅 Knowledge Cutoff: December 2023.
- ⚖️ Diversity & Bias: Data meticulously curated to minimize bias and maximize diversity in topics and dialogue styles, enhancing model robustness.
📊 Performance Benchmarks
As of October 2024, Llama 3.1 Nemotron demonstrates leading performance across critical metrics:
- ⭐ Arena Hard Score: 85.0
- ⭐ AlpacaEval Score: 57.6
- ⭐ MT-Bench Score: 8.98
These scores highlight its superior capabilities, particularly on Arena Hard, AlpacaEval 2 LC (verified tab), and MT Bench (GPT-4-Turbo) as of 1 Oct 2024.
💻 Usage & Access
Code Samples:
Access the Llama 3.1 Nemotron 70B Instruct model via the AI/ML API platform, listed as "Llama 3.1 Nemotron 70B Instruct".
<snippet data-name="open-ai.chat-completion" data-model="nvidia/llama-3.1-nemotron-70b-instruct"></snippet>
API Documentation:
Comprehensive API Documentation is available for detailed integration guidance.
⚖️ Ethical Guidelines & Licensing
Ethical Guidelines:
NVIDIA champions ethical AI development by prioritizing transparency regarding the model's capabilities and inherent limitations. Users are strongly encouraged to adhere to responsible usage guidelines to avert misuse or harmful applications.
Licensing:
The Llama 3.1 Nemotron model operates under a proprietary license. This license permits both commercial and non-commercial usage, subject to specific restrictions on redistribution.
❓ Frequently Asked Questions (FAQs)
Q1: What is Llama 3.1 Nemotron 70B Instruct?
A: It's a large language model (LLM) developed by NVIDIA, released October 2024, specifically optimized for instruction-following tasks and generating human-like responses.
Q2: What are its key capabilities?
A: It features 70 billion parameters, 128k token context length, scores 85.0 on Arena Hard, and integrates with NVIDIA's NIM for real-time performance. It also supports multiple languages.
Q3: Where can this model be used?
A: Ideal for virtual assistants, customer service, content generation, educational tools, and particularly effective in patient education due to its instruction-following accuracy.
Q4: How does it perform compared to other models?
A: As of October 2024, it ranks highly on benchmarks like Arena Hard (85.0), AlpacaEval (57.6), and MT-Bench (8.98), demonstrating leading performance.
Q5: Is there an API available for Llama 3.1 Nemotron 70B Instruct?
A: Yes, it's available on the AI/ML API platform. Detailed API documentation and sign-up links are provided within the description.
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