Docker Launches Model Runner Tool to Package and Deploy Fine-Tuned AI Models Using LoRA Technology

Docker launches Model Runner tool that enables developers to package and deploy fine-tuned AI models using LoRA technology, which dramatically reduces compute requirements by adding small adapter layers while keeping base models frozen.

• LoRA (Low-Rank Adaptation) enables efficient fine-tuning of language models by adding small trainable adapter layers while keeping the base model frozen, dramatically reducing compute and memory requirements
• Docker demonstrates fine-tuning Gemma 3 270M model to mask personally identifiable information (PII) through a four-step process: preparing datasets, configuring LoRA adapters, training the model, and exporting results
• Docker Model Runner allows developers to package, share, and deploy fine-tuned models through familiar Docker workflows, making specialized AI models accessible to the broader community