Mixtral is a sparse mixture-of-experts (SMoE) language model developed by Mistral AI. It's known for its high performance and efficiency, achieved by activating only a subset of its parameters for each input token. This approach allows it to have a large overall parameter count while maintaining faster inference speeds and lower computational costs compared to dense models of similar size. Mixtral is commonly used for various natural language processing tasks such as text generation, translation, question answering, and code completion.
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