Fine-tuning

Large model fine-tuning refers to the process of further adjusting and optimizing a model that has already been trained on large-scale data, using small-scale datasets from specific domains or tasks.

Large models themselves have learned a vast amount of general language knowledge, but for specific tasks and domains, their performance may not be ideal. Through fine-tuning, models can understand specific data and handle specific tasks.

Model Power Ark supports out-of-the-box fine-tuning functionality. Specifically supported fine-tuning features include:

• Text-to-image models: SDXL 1.0, FLUX-Dev, and Qwen Image, etc.
• Text generation models: Qwen2.5, Qwen3