Description
Llama-3.2-3B-Instruct is a sophisticated AI model developed by Meta, hosted on Hugging Face. It is designed to advance artificial intelligence through open source and open science. The model supports multilingual text and code generation, making it versatile for a wide range of applications. It features a context length of 128k and supports up to 9 trillion tokens, providing extensive capabilities for complex tasks.
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The model is built with a focus on safety and responsible deployment. It includes safety fine-tuning to ensure robust performance across various applications. Developers are encouraged to implement additional safety guardrails when deploying the model, such as Llama Guard and Prompt Guard, to align with safety and security standards.
Llama-3.2-3B-Instruct is available under the Llama 3.2 Community License, which grants a non-exclusive, worldwide, royalty-free license for use and distribution. However, if the monthly active users exceed 700 million, a separate license from Meta is required. The model is provided 'as is' without warranties, and users are responsible for compliance with applicable laws and regulations.
The model's training data includes a new mix of publicly available online data, and it supports quantization-aware training with low-rank adaptation. This allows for efficient deployment in constrained environments, such as mobile devices. The model's performance is evaluated through various benchmarks, demonstrating its capabilities in general tasks, reading comprehension, and multilingual applications.
Llama-3.2-3B-Instruct is part of Meta's commitment to democratizing AI technology, providing developers with a powerful tool for creating innovative solutions while ensuring safety and ethical considerations are met.
- CategoryAI Models & LLMs
- Pricing ModelOpen source
- DeploymentCloud
- PlatformsWeb
Llama-3.2-3B-Instruct Model Highlights
Multilingual text and code generation
Context length of 128k
Supports up to 9 trillion tokens
Quantization-aware training
Safety fine-tuning included
Available under Llama 3.2 Community License
Supports constrained environments
Evaluated through various benchmarks
Getting Started with Llama-3.2-3B-Instruct Model
Access page: Visit the Hugging Face model page
Load model: Use transformers library
Configure environment: Set up hardware and software requirements
Integrate: Implement into your application
Fine-tune: Adjust model parameters for specific tasks
Llama-3.2-3B-Instruct Model's Use Cases
- Multilingual Text Generation
- Code Generation
- Safety-Conscious AI Deployment
- Mobile AI Applications
- AI Research and Development
