Open source is how we build AI technology that benefits everyone and we're proud to keep supporting that push with Llama.
@aiatmeta
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Anticipation for Hugging Face Community’s work with new models
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Can't wait to see the Hugging Face Community do what they do best with these new models!
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Small Models, Big Moment in AI Development
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Some of these models may be small but this moment is big.
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Llama 3.2 Integration Across Amazon Ecosystem Announced
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We're incredibly excited to see Llama 3.2 light up across the Amazon ecosystem!
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Llama 3.2 Small Models Enable Mobile Development on Snapdragon
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These models may be small, but this news is big! Excited to see what mobile developers will be able to do with Llama 3.2 1B & 3B on Snapdragon!
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Anticipating Developer Innovation with New Multimodal Lightweight Models
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We can't wait to see the wave of innovation from developers building on these new multimodal and lightweight models on Bedrock!
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Major advances for enterprises using Llama 3.2
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Exciting to see these big leaps for enterprises running Llama 3.2!
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New Llama Vision Models Updates and Details Released
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This is just a small slice of what’s new with our Llama vision models. You can find more details in the full model card published on GitHub
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Llama 3.2 Vision Models Compete with Leading Closed Models
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Evaluating performance on extensive human evaluations and benchmarks, results suggest that Llama 3.2 vision models are competitive with leading closed models on image recognition + a range of visual understanding tasks.
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Llama 3.2 Multimodal Models with Improved Image Understanding
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By training adapter weights without updating the language-model parameters, Llama 3.2 11B & 90B retain their text-only performance while outperforming on image understanding tasks vs closed models. Enabling developers to use these new models as drop-in replacements for Llama 3.1. pic.twitter.com/TQo4IIyqRH
— AI at Meta (@AIatMeta) 25 septembre 2024By training adapter weights without updating the language-model parameters, Llama 3.2 11B & 90B retain their text-only performance while outperforming on image understanding tasks vs closed models. Enabling developers to use these new models as drop-in replacements for Llama 3.1.