Arcee Spark is a 7B parameter language model that delivers high performance within a compact package, proving that smaller models can rival larger ones. It achieves the highest score in the 7B-15B range and outperforms larger models like GPT 3.5 and Claude 2.1 on the MT-Bench benchmark. It is ideal for real-time applications, edge computing scenarios, cost-effective AI implementation, rapid prototyping, and enhanced data privacy in local deployments.