Introducing Meta Llama 3
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Llama 3 8B
Llama 3 8B is ideal for limited computational power and resources, faster training times, and edge devices. The model excels at text summarization, text classification, sentiment analysis, and language translation.
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Llama 3 70B
Llama 3 70B is ideal for content creation, conversational AI, language understanding, research development, and enterprise applications. The model excels at text summarization and accuracy, text classification and nuance, sentiment analysis and nuance reasoning, language modeling, dialogue systems, code generation, and following instructions.
Benefits
Meet Llama
Amazon Bedrock is the first public cloud service to offer a fully managed API for Llama, Meta’s next-generation large language model (LLM). Now, organizations of all sizes can access Llama models in Amazon Bedrock without having to manage the underlying infrastructure. This means you can focus on what you do best—building your AI applications. The partnership between Meta and Amazon signifies collective generative AI innovation. Meta and Amazon are working together to push the boundaries of what's possible.
Use cases
Meta's Llama models are accessible large language models designed for developers, researchers, and businesses to build, experiment, and responsibly scale generative AI ideas. Llama is an integral part of a foundational system that enables innovation in the global community.
Model versions
Meta Llama 3 8B
Ideal for limited computational power and resources, faster training times, and edge devices.
Max tokens: 8K
Languages: English
Fine-tuning supported: No
Supported use cases: Text summarization, text classification, sentiment analysis, and language translation
Meta Llama 3 70B
Ideal for content creation, conversational AI, language understanding, research development, and enterprise applications.
Max tokens: 8K
Languages: English
Fine-tuning supported: No
Supported use cases: Text summarization and accuracy, text classification and nuance, sentiment analysis and nuance reasoning, language modeling, dialogue systems, code generation, and following instructions.
Meta Llama 2 13B
Fine-tuned model in the parameter size of 13B. Suitable for smaller-scale tasks such as text classification, sentiment analysis, and language translation.
Max tokens: 4K
Languages: English
Fine-tuning supported: Yes
Supported use cases: Assistant-like chat
Meta Llama 2 70B
Fine-tuned model in the parameter size of 70B. Suitable for larger-scale tasks such as language modeling, text generation, and dialogue systems.
Max tokens: 4K
Languages: English
Fine-tuning supported: Yes
Supported use cases: Assistant-like chat