Recently, a model named Arcee Spark based on Qwen2 has undergone fine-tuning on 1.8 million sample data, featuring a 128k token context. The release of Arcee Spark has attracted widespread attention, particularly sparking a surge of interest among professionals in the field of artificial intelligence.
In benchmark tests such as MT-Bench, it has performed exceptionally well, achieving the highest scores among similar models and even surpassing GPT-3.5 on multiple tasks. It is reported that Arcee Spark is a 7B parameter model, a faster and stronger version of Qwen2.
