Meta unveils WEB Llama 2 family of large language models
7B, 13B, and 70B parameter models offer double the context length of previous versions
Meta has released a new family of WEB Llama 2 large language models (LLMs), offering researchers and developers access to models with up to 70B parameters. The models are trained on 2 trillion tokens of text data, double the context length of previous versions, and are available in 7B, 13B, and 70B parameter sizes.
Unleashing the power of LLMs
LLMs are powerful AI models that can understand and generate human language. They have shown promise for a wide range of applications, including natural language processing, machine translation, and dialogue generation. The WEB Llama 2 family of models is designed to be used for research and commercial applications, and Meta is providing access to the models and starting code for pre-trained and fine-tuned models.
The release of the WEB Llama 2 family of models is a significant step forward in the development of LLMs. The models' increased size and context length give them the ability to handle more complex tasks and generate more accurate and fluent text. Researchers and developers are encouraged to explore the potential of these models and contribute to the advancement of AI.
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