New short course with Mistral AI! Mistral's open-source Mixtral 8x7B model uses a "mixture of experts" (MoE) architecture. Unlike a standard transformer, an MoE model has multiple expert feed-forward networks (8 in this case), with a gating network selecting two experts at inference time. This enables MoE to match the performance of a large model but faster inference. Mixtral 8x7B has 46.7B parameters but activates only 12.9B at inference time to predict the next token. In Getting Started with M
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Mixtral is a new model using a mixture of experts (MoE) approach. It consists of 8x7B mistral models. It was pre-released on Friday, look for more details to come. #largelanguagemodels #mixtral #mistral #rajistics A version of the Mixtral model is here: https://huggingface.co/DiscoResearch/DiscoLM-mixtral-8x7b-v2 More about MoE approach, check out MegaBlocks: Efficient Sparse Training with Mixture-of-Experts: https://arxiv.org/abs/2211.15841
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