Llamafactory

What is LLaMA-Factory?

LLaMA-Factory is an online large model fine-tuning platform developed in collaboration with the official LLaMA-Factory project. It provides high-performance GPU training resources and a low-code, one-stop service for fine-tuning. Supporting over 100 models and datasets including Qwen, Llama, DeepSeek, GLM, and GPT-OSS, LLaMA-Factory enables teams to efficiently build AI capabilities.

How to use LLaMA-Factory?

1. Visit the LLaMA-Factory website and create an account.
2. Log in to access the low-code interface for model fine-tuning.
3. Choose from the list of supported models and datasets, and configure your training parameters.
4. Start the training process and monitor the performance using the provided dashboard.

What are the main features of LLaMA-Factory?

• High-performance GPU resources for efficient training.
• Low-code interface that simplifies the fine-tuning process.
• Support for over 100 models and datasets including Qwen, Llama, and GPT-OSS.
• Comprehensive documentation for users ranging from beginners to advanced.
• Real-world case studies that provide reusable enterprise-level solutions.

Who is LLaMA-Factory for?

LLaMA-Factory is designed for users who have basic coding and engineering skills but require assistance with fine-tuning large models. It is ideal for teams looking to efficiently develop AI capabilities without extensive technical expertise. Whether you are a developer, data scientist, or AI enthusiast, LLaMA-Factory provides the necessary tools to enhance your projects.

What are the use cases of LLaMA-Factory?

1. Fine-tuning models for specific business applications, such as customer support chatbots.
2. Developing custom AI solutions for industries like healthcare and finance.
3. Rapid prototyping of AI models to test and iterate on new ideas.