Weyaxi/Einstein-v4-7B

Einstein-v4-7B is a 7 billion parameter instruction-tuned causal language model developed by Weyaxi, based on the Mistral-7B-v0.1 architecture. Fine-tuned on diverse datasets, it demonstrates balanced performance across various benchmarks, including reasoning and common sense tasks. This model is suitable for general-purpose conversational AI and instruction following applications.