In artificial intelligence and language models, there are challenges in training and utilizing models for different tasks. The necessity for a versatile, high-performing model that can understand and generate content across various domains is crucial. While there are some existing options, they may not meet the criteria of achieving cutting-edge performance and adaptability.
Nous Research has launched Nous-Hermes-2-Mixtral-8x7B, which offers a state-of-the-art solution. This model has 2 versions – an SFT and a DPO version, to address these challenges. It’s trained on a vast dataset primarily made up of GPT-4 generated data and supplemented with high-quality information open datasets in the AI field.
The Nous-Hermes-2-Mixtral-8x7B model has undergone benchmark testing against GPT4All, AGIEval, and BigBench tasks. The results show significant improvements over the base Mixtral model, surpassing even the flagship Mixtral Finetune by MistralAI.
This model introduces ChatML as the prompt format, allowing for a more structured interaction and makes the model more accessible. This advanced model stands out and is effective in artificial intelligence, making it a powerful solution for language model challenges.