LLaMA-Factory Online

LLaMA-Factory Online is an online large model fine-tuning platform that provides high-performance GPU training resources, supports a variety of mainstream models, and is suitable for teams to efficiently build AI capabilities. It has the characteristics of zero code fine-tuning, users can quickly perform model training and optimization, and lower the technical threshold. The platform adopts a second-level billing model to save users training costs and improve usage efficiency.

Demand group:

"This product is suitable for researchers, data scientists and development teams who need to fine-tune large models quickly and effectively to improve the development efficiency of AI projects. Through the zero-code design concept, the technical threshold is lowered and is suitable for users with different technical backgrounds."

Example of usage scenario:

Use LLaMA-Factory to fine-tune customized language models to optimize language processing capabilities in specific fields.

Build customized AI customer service systems for customers and improve response accuracy by fine-tuning existing models.

In the field of education, the platform is used to train academic writing assistants to help students improve their writing skills.

Product features:

Supports fine-tuning of 100+ large models, covering mainstream models and data sets such as Qwen and Llama.

Provides a variety of training methods, including pre-training, SFT, Reward Modeling, etc.

Supports a variety of fine-tuning precisions, such as 16-bit full-parameter fine-tuning and QLoRA fine-tuning.

It has a visual parameter configuration interface, allowing users to easily fine-tune the model.

Supports distributed training on a single machine with multiple cards and multiple machines with multiple cards, adapting to different usage scenarios.

Provides two modes: quick fine-tuning and expert fine-tuning, supporting parameter reuse.

High-performance GPU accelerates model training and significantly shortens model generation time.

Flexible billing mode, the task mode is only billed in the running state, saving costs.

Usage tutorial:

Visit LLaMA-Factory Online official website.

Register an account and log in to the platform.

Select the desired model and dataset.

Configure training parameters and select a training method.

Start the training process and monitor progress.

After training is complete, download the fine-tuned model and test it.