Poolnoodle-Mixup

Poolnoodle-Mixup is our new main-contender for a big model with deep reasoning capabilities. It's a sparse mixture of experts model based on Mixtral 8x7, but with updated tokenizations and embeddings.

Poolnoodle-Mixup strong points are general reasoning and a deep general knowledge. With this, the model is capable of making complex decisions.

Poolnoodle-Mixup is a model that is trained to be helpful and explanative, with the appropriate instructions, it's a great model for an AI chatbot. 

With a standard context length of 16384 tokens without context-extension measures, it's capable of holding very long conversations and can parse considerable amount of text.

Despite being a relatively heavy model, it's been heavily optimized for speed and as such it outputs much faster than most LLaMa-based models.

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