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Llama 3.2 includes small and medium-sized vision Large Language Models (11B and 90B) and lightweight text-only models (1B and 3B) optimized for edge and mobile devices.
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11B and 90B are the two largest models of Llama 3.2 that support image reasoning use cases like image understanding, captioning, and visual reasoning. These models can be used for custom applications, deployed locally, and are available to try with Meta AI.
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1B and 3B are small and lightweight text models used for on-device use cases like summarization instruction. The models are also optimized for rewriting tasks running locally over the edge of a network.
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It is a standardized toolchain optimized for integrating Llama models across different environments, including cloud, on-premise, on-device, and single node.
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Llama Guard 3 11B enhances image understanding by filtering image and text inputs and responses, ensuring responsible AI usage. Meanwhile, Llama Guard 3 1B is pruned and quantized to reduce deployment costs.
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With Llama 3.2, Meta believes in reaching more people and driving innovation. By sharing their models openly, Meta ensures that developers have the tools to build applications responsibly.
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You can now easily grasp Llama 3.2’s capabilities and use cases through the short course created by Meta and taught by Amit Sangani.
Image source: Meta