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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: 'gradientai/Llama-3-70B-Instruct-Gradient-1048k',
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="gradientai/Llama-3-70B-Instruct-Gradient-1048k",
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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Product Detail
Llama-3 70B Gradient Instruct 1048k Description
Basic Information
- Model Name: Llama-3 70B Gradient Instruct 1048k
- Developer/Creator: Gradient AI
- Release Date: May 16, 2024
- Version: 1.0
- Model Type: Text-based LLM
Overview
The Llama-3 70B Gradient Instruct 1048k model represents a cutting-edge text-based large language model developed by Gradient AI. It is engineered to handle exceptionally long context lengths, expanding from the conventional 8k tokens to over 1,048k tokens. This significant enhancement allows the model to perform sophisticated reasoning and generate highly coherent outputs across substantially larger inputs, making it ideal for applications demanding deep contextual understanding and retention.
Key Features 💡
- ✔️ Extended Context Length: From 8k to over 1,040k tokens.
- ✔️ Instruction-Tuned: Optimized for superior dialogue and chat capabilities.
- ✔️ Minimal Training Data: Requires less than 0.01% of Llama-3's original pre-training data for this extension.
- ✔️ Progressive Training: Utilizes increasing context lengths for optimal performance.
Intended Use 🎯
This model is engineered for diverse applications, including but not limited to:
- Document summarization
- Advanced question answering systems
- Long-form content generation
- Autonomous agents for business operations
Technical Details ⚙️
Architecture
The Llama-3 70B Gradient Instruct 1048k model is built upon the robust Transformer architecture, renowned for its efficiency in processing sequential data and managing long-range dependencies, crucial for extended context understanding.
Training Data 📚
The model underwent training on approximately 430 million tokens in total, with 34 million tokens specifically allocated for its final training stage. The diverse data sources include augmented datasets from SlimPajama and UltraChat, ensuring a wide array of contexts and styles for comprehensive learning.
Data Source and Size:
- Total Training Tokens: ~430M
- Final Stage Tokens: 34M
- Original Pre-training Data Contribution: Less than 0.003% of Llama-3's original dataset.
Performance Metrics
- Context Length Evaluation: Proven capability to process contexts up to 1,048k tokens.
- Inference Speed: Highly optimized for real-time applications, ensuring high throughput and responsiveness.
Benchmarks
The Llama-3 70B Gradient Instruct 1048k model demonstrates remarkable performance on standard industry benchmarks, frequently outperforming many currently available open-source chat models. It also highlights the significant potential for state-of-the-art LLMs to adapt to and operate on long contexts with minimal additional training, primarily through appropriate adjustments to RoPE theta.
Usage & Integration 🔌
Code Samples
The model is readily available on the AI/ML API platform under the identifier "gradientai/Llama-3-70B-Instruct-Gradient-1048k". You can find comprehensive code examples and implementation details for integrating this model into your applications on the platform.
API Documentation
Detailed API Documentation providing comprehensive guidelines for seamless integration is available on the AI/ML API website.
Ethical Guidelines ⚖️
The development of the Llama-3 70B Gradient Instruct 1048k model strictly adheres to established ethical AI principles, emphasizing transparency, fairness, and accountability across all its potential applications.
Licensing
The Llama-3 70B Gradient Instruct 1048k is licensed under the Llama3 license, which permits both commercial and non-commercial use, offering broad utility for developers and organizations.
Frequently Asked Questions (FAQ) ❓
Q1: What is the primary advantage of the Llama-3 70B Gradient Instruct 1048k model?
Its primary advantage is the significantly extended context length, capable of processing over 1,048k tokens. This allows for deeper understanding and coherent generation over very large inputs, making it suitable for complex tasks.
Q2: How much training data was required to achieve the extended context?
Gradient AI achieved this extension with minimal training data, using less than 0.01% of Llama-3's original pre-training data, specifically ~430 million tokens in total and 34 million for the final stage.
Q3: What types of applications can benefit from this model?
Applications requiring deep context retention, such as document summarization, complex question answering systems, long-form content generation, and autonomous agents for business operations.
Q4: Where can I find the API and code samples for integration?
The model is available on the AI/ML API platform under "gradientai/Llama-3-70B-Instruct-Gradient-1048k", with detailed API documentation at docs.ai.cc.
Q5: Is the Llama-3 70B Gradient Instruct 1048k model available for commercial use?
Yes, it is licensed under the Llama3 license, which permits both commercial and non-commercial use.
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