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Llama 3.2 3B Instruct Turbo

Llama 3.2 3B Instruct Turbo: Meta's efficient multilingual language model for diverse NLP tasks, balancing performance and computational requirements.

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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: 'meta-llama/Llama-3.2-3B-Instruct-Turbo',
    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="meta-llama/Llama-3.2-3B-Instruct-Turbo",
    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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Llama 3.2 3B Instruct Turbo

Product Detail

Introducing the Llama 3.2 3B Instruct Turbo, a cutting-edge large language model (LLM) from Meta. Launched in September 2024, this Version 3.2 text-to-text language model is expertly engineered for superior instruction-following performance while maintaining remarkable computational efficiency. It stands out as a lightweight, high-quality solution, particularly proficient in multilingual tasks.

✨ Key Capabilities

💻 3 Billion Parameters: Achieves significant computational efficiency and robust performance.
💭 Instruction-Following Optimized: Excels in understanding and executing complex user instructions.
🌍 Multilingual Support: Delivers strong performance across a diverse range of languages.
📱 Lightweight Architecture: Perfectly suited for edge computing and mobile AI applications.
🔧 Highly Customizable: Offers flexibility for integration into specific industry requirements.

🚀 Intended Use Cases

Llama 3.2 3B Instruct Turbo is a versatile tool for various Natural Language Processing (NLP) applications, including:

• Advanced Dialogue Generation
• Efficient Text Summarization
• High-Quality Translation Services
• Precise Entity Extraction
• Real-time Text Analysis for dynamic environments
• Edge and Mobile AI Applications for on-device processing
• Intelligent Multilingual Dialogue Agents

🌐 Extensive Language Support

The model's strong multilingual performance is evidenced by its benchmark scores across several key languages, including:

• English
• Spanish
• French
• German
• Italian
• Portuguese
• Thai
• Hindi

💡 Technical Overview

Architecture

Llama 3.2 3B Instruct Turbo leverages an optimized transformer architecture with auto-regressive language modeling, incorporating:

• 3.21 Billion Parameters: A precisely configured parameter count for peak efficiency.
• Group Query Attention (GQA): Enhances scalability and inference speed.
• Shared Embeddings: Optimizing the model's footprint and performance.
• 128k Context Length: Enables deep understanding and processing of longer inputs.

Training Data & Process

Llama 3.2 was pretrained on a colossal dataset of up to 9 trillion tokens sourced from publicly available online data. The sophisticated training regimen included:

Incorporation of logits derived from Llama 3.1 8B and 70B models.
Knowledge distillation implemented after careful pruning.
Multiple rounds of alignment, featuring:
- Supervised Fine-Tuning (SFT)
- Rejection Sampling (RS)
- Direct Preference Optimization (DPO)

Data Source: A fresh mix of publicly accessible online data, utilizing up to 9T tokens during training.

Knowledge Cutoff: The model's information is current up to December 2023.

Diversity & Bias: Its consistent strong performance across various languages underscores a highly diverse training dataset, minimizing inherent biases.

📊 Performance Benchmarks

Llama 3.2 3B Instruct Turbo showcases remarkable performance across diverse benchmarks. Below is a visual representation of its capabilities:

Multilingual Performance (MMLU Benchmark)

• Spanish: 55.1%
• French: 54.6%
• German: 53.3%

Model Comparison

• Accuracy: Achieves a strong 63.4% on the MMLU benchmark, presenting highly competitive performance for its size when compared to larger models like Llama 3.1 8B (69.4%).
• Speed: Boasts an impressive output speed of 131.7 tokens per second, significantly faster than average.
• Robustness: Its consistent strong performance across varied languages and tasks highlights its excellent generalization capabilities.

🔨 Integration & Guidelines

Code Sample

Developers can easily integrate Llama 3.2 3B Instruct Turbo. Here's an example snippet illustrating its use within an OpenAI-like API structure:

      
        <snippet data-name="open-ai.chat-completion" data-model="meta-llama/Llama-3.2-3B-Instruct-Turbo"></snippet>

🛡️ Ethical Use Policy

Responsible deployment of AI is paramount. The usage terms for Llama 3.2 3B Instruct Turbo strictly prohibit:

• Generation of malicious code or any interference with computer systems.
• Circumventing usage restrictions or predefined safety measures.
• Engagement in any illegal activities.
• Activities that pose a risk of harm to individuals.

📜 Licensing Information

The Llama 3.2 models are distributed under a specific licensing agreement. Developers and organizations within the European Union must be aware of a key commercial use restriction:

Commercial Use in EU Prohibited: Based on the Llama 3.2 Acceptable Use Policy, individuals and organizations located in the European Union are currently not authorized to use these models for commercial purposes.

For a detailed understanding of the acceptable use and complete licensing terms, please consult the official Llama 3.2 Use Policy.

❓ Frequently Asked Questions (FAQ)

Q1: What is Llama 3.2 3B Instruct Turbo?

It is a compact yet powerful large language model developed by Meta, optimized for executing instructions and handling multilingual tasks efficiently. It's designed for various NLP applications on diverse platforms.

Q2: What are the primary advantages of this model?

Its key benefits include a modest 3 billion parameter count for efficiency, robust multilingual support, high-speed output, and its suitability for edge and mobile AI environments, offering strong customization potential.

Q3: Which languages does Llama 3.2 3B Instruct Turbo effectively support?

The model demonstrates strong performance in English, Spanish, French, German, Italian, Portuguese, Thai, and Hindi, among other languages, as validated by benchmarks.

Q4: Is commercial use of Llama 3.2 3B Instruct Turbo permitted in the European Union?

No. As per the Llama 3.2 Acceptable Use Policy, organizations and individuals within the European Union are currently prohibited from using Llama 3.2 models for commercial purposes.

Q5: What is the knowledge cutoff date for Llama 3.2 3B Instruct Turbo?

The model's training data includes information up to December 2023. Therefore, its knowledge base does not extend beyond this date.

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