Artificial intelligence and language models often pose training and usage challenges. The need for a versatile, high-performing model capable of understanding and generating content across various domains is clear. While some existing solutions have certain performance capabilities, they often struggle to deliver state-of-the-art results and adaptability.
Addressing these issues, NousResearch has recently launched Nous-Hermes-2-Mixtral-8x7B, which includes both SFT and DPO versions of the model. This state-of-the-art model, trained on a substantial dataset primarily made up of GPT-4 generated data and enriched with high-quality information from open AI datasets, shows exceptional performance across numerous tasks.
The specialized SFT version of the Nous Hermes 2 Mixtral 8x7B model, designed for supervised fine-tuning, is based on the Mixtral 8x7B MoE LLM architecture. Trained on over one million entries, most of which are generated by GPT-4, this version demonstrates outstanding performance across various tasks, setting new industry standards.
Benchmark testing against GPT4All, AGIEval, and BigBench tasks shows that the Nous-Hermes-2-Mixtral-8x7B model significantly improves upon the base Mixtral model. It even surpasses the flagship Mixtral Finetune by MistralAI, achieving an average performance of 75.70 for GPT4All, 46.05 for AGIEval, and 49.70 for BigBench.
The novel ChatML prompt format facilitates more structured and engaging interactions with the model, especially in multi-turn chat dialogues. System prompts enable steerability allowing users to adeptly guide the model’s responses in line with roles, rules, and stylistic preferences. This format, compatible with the OpenAI endpoint, improves the user experience and accessibility of the model.
In summary, the Nous Hermes 2 Mixtral 8x7B DPO is a powerful solution for language model training and usage challenges. Its substantial training data, innovative versions, and impressive benchmark results make it both adaptable and high-performing. Enhanced user interaction via ChatML and a commitment to exceeding current benchmarks distinguish this model as a sophisticated tool in the field of artificial intelligence.
