# Model distillation

DMM is a score distillation-based model fusion paradigm that compresses multiple pre-trained models from different domains into a versatile text-to-image generation model.

This is a LoRA adapter extracted from DeepSeek-R1-Distill-Qwen-32B, based on the Qwen2.5-32B base model, suitable for parameter-efficient fine-tuning.

DistilBart-MNLI is a lightweight version distilled from bart-large-mnli using teacher-free distillation technology, maintaining high accuracy while reducing model complexity.

DistilBart-MNLI is a distilled version of BART-large-MNLI, using teacher-free distillation technology, significantly reducing model size while maintaining high performance.

DistilBart-MNLI is a distilled version of bart-large-mnli using teacher-free distillation techniques, achieving performance close to the original model while being more lightweight.