Intel/neural-chat-7b-v3-3

Intel/neural-chat-7b-v3-3 is a 7 billion parameter language model developed by Intel, fine-tuned from Mistral-7B-v0.1. It was optimized using Direct Performance Optimization (DPO) on the MetaMathQA dataset, making it particularly strong in mathematical reasoning and problem-solving. This model offers an 8192-token context length and is suitable for language-related tasks requiring robust mathematical capabilities.