WEB Llama
A Family of Pretrained and Fine-tuned Language Models
Model Specifications
The recently released WEB Llama 2 family of models comprises three variants: 7B, 13B, and 70B. All three models are pretrained on a dataset of 2 trillion tokens, double the context length of earlier models. They are trained with a global batch size of 4M tokens.
WEB Llama 1, released earlier, included models with 7, 13, 33, and 65 billion parameters. WEB Llama 2 retains the 7 and 13 billion parameter models but introduces a new 70 billion parameter model.
The 70B model is trained on 40% more data than the previous largest model, providing enhanced capabilities.
Meta Llama 3 API Access
Developers can now access Meta Llama 3 through an API, enabling them to integrate the model's language generation, translation, and other capabilities into their applications.
Conclusion
The WEB Llama 2 family offers a range of pretrained and fine-tuned language models, providing developers with powerful tools for language-based tasks. From the 7B model suitable for smaller-scale projects to the 70B model capable of handling more complex tasks, WEB Llama 2 empowers developers to enhance their applications with advanced language understanding and generation capabilities.
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