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Llama-2-7b-chat-coreml

coreml-projects

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The Llama-2-7b-chat-coreml is a Core ML version of the Llama-2-7b-chat-hf model from Meta. It is a fine-tuned 7 billion parameter version of the Llama 2 family of large language models, optimized for dialogue use cases. Like the original Llama-2-7b-chat-hf model, this Core ML version was developed and released by Meta. Model inputs and outputs Inputs Text**: The model takes text input only. Outputs Text**: The model generates text in response to the input. Capabilities The Llama-2-7b-chat-coreml model is capable of engaging in open-ended dialogue, answering questions, and generating coherent and contextually relevant text. It has been fine-tuned on a large dataset of conversational data to improve its performance on chat-like tasks. What can I use it for? The Llama-2-7b-chat-coreml model can be used to build conversational AI assistants, chatbots, and other applications that require natural language interactions. Its small size and Core ML format make it well-suited for deployment on mobile and edge devices. Developers should carefully consider the ethical considerations and limitations before deploying any applications using this model. Things to try Developers can experiment with the Llama-2-7b-chat-coreml model to build prototypes and test its capabilities on a variety of conversational tasks. By following the specific formatting requirements outlined in the Intended Use section, you can leverage the model's fine-tuning for dialogue use cases.

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Updated 5/17/2024