Tool overview
Overview
LLaMA-Factory Online is a no-code fine-tuning platform designed for developers, data teams, and AI product builders who want to customize open-source large language models without wrestling with infrastructure. Accessible directly in the browser, it streamlines the entire LLM lifecycle: data preparation, training configuration, experiment management, and deployment. Users can bring their own datasets or select from public templates, then fine-tune popular LLaMA and other open-source models using intuitive workflows instead of complex scripts. The platform abstracts away GPU configuration, distributed training, and environment setup, allowing you to focus on model quality and business logic. With visual experiment tracking, parameter presets, and reproducible pipelines, LLaMA-Factory Online helps teams iterate quickly and compare results with minimal friction. It supports common fine-tuning techniques such as full-parameter training, LoRA, and instruction tuning, making it suitable for chatbots, copilots, search, and domain-specific assistants. Security and collaboration are built in: team members can share projects, reuse configurations, and standardize best practices across organizations. Integration-friendly APIs and export options enable you to deploy fine-tuned models to cloud, on-prem, or edge environments. Whether you are prototyping an AI feature or scaling a production system, LLaMA-Factory Online offers a practical path from raw data to customized LLMs, without managing complex MLOps pipelines or writing a single line of training code.