hkust-nlp/drkernel-8b-coldstart

The hkust-nlp/drkernel-8b-coldstart is an 8 billion parameter Qwen3-based causal language model developed by hkust-nlp. This model serves as the cold-start supervised fine-tuning (SFT) checkpoint for the DR.Kernel project, specifically designed for generating and refining structured kernel-optimization responses using the DR.Kernel prompt format. It is primarily intended as an initialization point for further reinforcement learning (RL) training stages, providing a strong SFT baseline for kernel generation tasks.