Phixtral 4x2_8B mixture of experts (MoE) AI assistant

In the fast-paced world of artificial intelligence, a new coding model has emerged, capturing the attention of tech enthusiasts and professionals alike. The Phixtral 4x2_8B, crafted by the innovative mind of Maxim Lebon, is a tool that stands out for its ability to enhance the way we approach coding tasks. This model is not just … Read more

New Mixtral 8x7B research paper released – Mixtral of Experts (MoE)

Artificial intelligence (AI) has taken a significant leap forward with the development of a new model known as Mixtral 8x7B. This model, which uses a unique approach called a mixture of experts (MoE) architecture, is making waves in the AI research community. The team behind Mixtral 8x7B, Mel AI research group, has created something that … Read more

Running Mixtral 8x7B Mixture-of-Experts (MoE) on Google Colab’s free tier

if you are interested in running your very own AI models locally  on your home network or hardware you might be interested that it is possible to run Mixtral 8x7B on Google Colab.  Mixtral 8x7B is a high-quality sparse mixture of experts model (SMoE) with open weights. Licensed under Apache 2.0, Mixtral outperforms Llama 2 … Read more

How to fine tune Mixtral 8x7B Mistral’s Mixture of Experts (MoE)

When it comes to enhancing the capabilities of the Mixtral 8x7B, an artificial intelligence model with a staggering 87 billion parameters, the task may seem daunting. This model, which falls under the category of a Mixture of Experts (MoE), stands out for its efficiency and high-quality output. It competes with the likes of GPT-4 and … Read more