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const { OpenAI } = require('openai');
const api = new OpenAI({ apiKey: '', baseURL: 'https://api.ai.cc/v1' });
const main = async () => {
const prompt = `
All of the states in the USA:
- Alabama, Mongomery;
- Arkansas, Little Rock;
`;
const response = await api.completions.create({
prompt,
model: 'meta-llama/Llama-3-8b-hf',
});
const text = response.choices[0].text;
console.log('Completion:', text);
};
main();
from openai import OpenAI
client = OpenAI(
api_key="",
base_url="https://api.ai.cc/v1",
)
def main():
response = client.completions.create(
model="meta-llama/Llama-3-8b-hf",
prompt="""
All of the states in the USA:
- Alabama, Mongomery;
- Arkansas, Little Rock;
""",
)
completion = response.choices[0].text
print(f"Completion: {completion}")
main()
-
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Product Detail
✨ Introducing Llama-3 (8B): Meta's Powerful Open-Source LLM
Llama-3 (8B) is a cutting-edge large language model (LLM) developed by Meta, released on April 18, 2024. As a key member of the Llama family, this 8-billion-parameter model is meticulously designed for generative text tasks, excelling particularly in dialogue applications. It stands out in the open-source landscape by delivering superior performance on industry benchmarks, all while prioritizing helpfulness and user safety.
Model Details
- 🏷️ Name: Llama-3 (8B)
- 🏢 Developer: Meta
- 🗓️ Release Date: April 18, 2024
- modelVersion: 1.0
- 🧠 Type: Large Language Model (LLM)
Key Advantages
- ✅ Outperforms many open-source chat models
- ✅ Optimized for dialogue use cases
- ✅ Strong focus on helpfulness
- ✅ Enhanced safety features
💡 Llama-3 (8B) Key Features & Capabilities
- Improved Reasoning & Code Generation: Llama-3 (8B) showcases significant advancements in its reasoning abilities and its capacity to generate high-quality, functional code snippets.
- Increased Diversity in Responses: The model is engineered to produce a wider array of engaging and varied responses, leading to more natural and dynamic conversations.
- Enhanced Alignment with Human Preferences: Through sophisticated fine-tuning, Llama-3 (8B) better understands and aligns with human values and preferences, making it ideal for interactive applications.
- Optimized for Chat & NLP Tasks: This model is specifically optimized to excel in assistant-like chat scenarios and a broad spectrum of natural language generation tasks.
🎯 Intended Use & Language Support
Llama-3 (8B) is designed for both commercial and research applications, primarily in English-speaking contexts. The instruction-tuned versions are perfectly suited for building conversational AI assistants, while the pretrained models offer versatility for adaptation to various natural language generation tasks.
While its core support is for the English language, its open-source nature means developers have the flexibility to fine-tune or adapt the model for use with other languages, expanding its potential reach.
⚙️ Technical Specifications
Architecture
The Llama-3 (8B) model leverages an advanced optimized transformer architecture. A key innovation is the incorporation of Grouped-Query Attention (GQA), which significantly enhances inference scalability. With 8 billion parameters, the model is engineered for both efficiency and high performance, making it robust for demanding AI applications.
Training Data
Llama-3 (8B) was trained on a vast and diverse dataset comprising 15 trillion tokens of publicly available online data. This extensive training corpus covers a wide array of topics and domains, ensuring the model possesses comprehensive and up-to-date knowledge. The knowledge cutoff for its training data is March 2023.
🚀 Performance & Benchmarks
Llama-3 (8B) consistently delivers state-of-the-art results across various industry benchmarks, demonstrating its superior capabilities.
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Beyond its accuracy, the model exhibits impressive operational speed, boasting an output speed of 119.6 tokens per second and notably lower latency compared to average models. It also features a generous context window of 8,000 tokens, allowing for longer and more complex interactions.
🛡️ Responsible AI & Licensing
Ethical Guidelines
Meta has established robust ethical guidelines for the responsible and safe deployment of Llama-3 (8B). These guidelines comprehensively address critical areas such as data privacy, mitigation of algorithmic bias, and effective content moderation, setting a high standard for responsible AI development.
License Type
Llama-3 (8B) is released under a custom commercial license. This license enables developers to utilize the model for both commercial and research objectives, with specific terms and conditions detailed in the agreement. Meta's dedication to open-source principles and responsible AI innovation significantly contributes to advancing industry standards.
Note: A specific snippet for API completion (`
❓ Frequently Asked Questions (FAQ) about Llama-3 (8B)
A1: Llama-3 (8B) is an 8-billion-parameter open-source large language model (LLM) developed by Meta, optimized for generative text, especially dialogue applications.
A2: Its strengths include improved reasoning and code generation, diverse response generation, strong alignment with human preferences, and high performance on industry benchmarks.
A3: Yes, it is released under a custom commercial license, allowing for both commercial and research purposes, with specific terms outlined in the license agreement.
A4: Llama-3 (8B) primarily supports the English language, though its open-source nature allows for potential fine-tuning or adaptation for other languages.
A5: The model features a context window of 8,000 tokens, enabling it to process and generate longer, more coherent textual sequences.
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