Llama 3.2 3B Instruct

About Llama 3.2 3B Instruct

Llama 3.2 3B Instruct is Meta's compact language model, designed for edge deployment and resource-constrained environments. With just 3 billion parameters, it runs efficiently on mobile devices, embedded systems, and minimal cloud infrastructure. The model handles general conversation, basic coding, and content generation effectively despite its small size. Llama 3.2 3B features efficient architecture optimized for on-device inference, enabling AI applications without cloud connectivity. Its open weights support fine-tuning with minimal compute requirements. The model is ideal for mobile AI assistants, IoT applications, and scenarios where larger models aren't feasible. For developers building AI features into resource-limited environments, Llama 3.2 3B provides capable AI in the smallest practical package. It represents Meta's commitment to making AI accessible across all deployment scenarios.

Model Specifications

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

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🚀 Quick Start

Get started with Llama 3.2 3B Instruct API

from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="meta-llama/llama-3.2-3b-instruct",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

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