Last updated: May 19, 2025
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Overview
LLaMA V3.2 is Meta's latest large language model, offering high accuracy, open access, and scalable multi-modal capabilities.
Key Features
✦ Open Source: LLaMA models are freely available to researchers and developers.
✦ High Performance: Strong benchmarks on reasoning, summarization, and translation tasks.
✦ Multi-Modal Support: Supports vision + language tasks (in select implementations).
✦ Efficient Scaling: Optimized for training across a variety of hardware setups.
✦ Extended Context Length: Enhanced support for long input sequences.
✦ Security-First Design: Trained with safety in mind, reducing toxic outputs.
Advantages
🟩 Transparent & Open: Available under a research license, encouraging innovation and collaboration.
🟩 Research-Grade Performance: On par with top commercial models.
🟩 Strong Ecosystem: Growing support in HuggingFace and open-source tools.
🟩 Cost-Efficient Deployment: Can be run on local hardware or adapted for custom needs.
Limitations
🟥 Research License Only: Limited commercial usage without approval.
🟥 No Official Hosted API: Requires technical setup for usage.
🟥 Model Complexity: Needs advanced hardware for training or inference.
🟥 Limited Guardrails: Developers must implement content moderation.
Use Cases
➤ Academic Research: Explore LLM behaviors, fairness, and performance.
➤ Custom AI Apps: Power AI copilots or chatbots using open infrastructure.
➤ Translation Engines: Build multilingual content platforms.
➤ Educational Tools: Use the model to train and fine-tune student AI experiments.
Pricing Details
Llama 3 is an open-source model, making it free to use, though it involves costs for compute and hosting.
⭘ Free (Self-Hosted): The Llama 3 models are open-source and available for free download. Users and businesses can deploy them on their own hardware or cloud instances, incurring only their own infrastructure and compute costs.
⭘ Cloud Provider Access (Pay-as-you-go): Llama 3 is widely available on major cloud platforms like AWS, Google Cloud, Microsoft Azure, and others. Users pay the cloud provider for the compute resources used to run the model, not for the model license itself.
⭘ Third-Party APIs: Numerous platforms offer access to Llama 3 models via their own APIs, with varying pay-per-token or subscription-based pricing.
(Note: While the model itself is free, using it at scale almost always involves significant computational costs.)
Summary
LLaMA V3.2 by Meta brings cutting-edge large language modeling to the open-source world. Ideal for researchers and developers, it combines high performance with flexibility and transparency. From academic experimentation to real-world application building, LLaMA gives users full control over their AI stack.
Released Dates
2025
April 29 – At LlamaCon, Meta announced the Llama API in limited preview (featuring Llama 4 Scout & Maverick models), new Llama Protection Tools (Llama Guard 4, LlamaFirewall, Llama Prompt Guard 2), CyberSecEval 4 updates, the Llama Defenders Program, and collaborations for faster inference via the Llama API.
April 5 – Meta released the Llama 4 model family (including 109B, 400B, and 2T parameter versions).
2024
December 7 – Meta released the Llama 3.3 (70B parameter) model.
September 25 – Meta released the Llama 3.2 model family (1B, 3B, 11B, 90B parameters).
July 23 – Meta released the Llama 3.1 model family (8B, 70B, and a new 405B parameter model).
April 18 – Meta released the Llama 3 model family (8B and 70B parameter versions).
2023
August 24 – Meta released Code Llama, a version of Llama 2 specialized for code generation.
July 18 – Meta released the Llama 2 model family, available for free for research and commercial use.
February 24 – Meta announced Llama, its foundational large language model family.
