Models & resources
OpenBMB
Academic-grade resource hub for open-source LLMs and efficient fine-tuning
What is OpenBMB?
OpenBMB is an open-source initiative led by the Natural Language Processing Laboratory at Tsinghua University (THUNLP), dedicated to lowering the barrier to entry for large language models.The platform aggregates a full-stack toolchain ranging from pre-training to fine-tuning and deployment, providing researchers and developers with efficient and user-friendly foundation model support.
As a key driver of open-source LLMs in academia, OpenBMB hosts resources for prominent models including the ChatGLM series.It also releases core libraries such as BMInf and BMTrain, optimized for large-scale model training and inference, enabling users to achieve high-performance model applications even with limited computational resources.
Key features
- Tsinghua-OriginaProvides downloads and documentation for high-quality open-source LLMs like ChatGLM developed by THUNLP.
- Efficient Fine-TIncludes training acceleration libraries like BMTrain, supporting Parameter-Efficient Fine-Tuning (PEFT) to significantly reduce VRAM requirements.
- Low-Resource InfEnables low-bit quantization and inference acceleration for large models via tools like BMInf, making them compatible with consumer-grade hardware.
- Full-Stack ToolsOffers a complete development lifecycle toolkit covering data preprocessing, model training, evaluation, and deployment.
- Academic CommuniBacked by top university laboratory research, continuously delivering cutting-edge NLP findings and open-source code.
How to use it
- Visit the official OpenBMB website to browse the latest model lists and technical documentation.
- Select the appropriate open-source model (such as the ChatGLM series) or tool library based on your needs.
- Check the GitHub repositories for code examples, installation guides, and dependency configurations.
- Use the provided fine-tuning scripts or inference interfaces to load the model in your local environment.
- Participate in community discussions, report issues, or contribute code to optimize the project ecosystem.
Where it fits
- Academic ResearcProvides reproducible baseline models and efficient training frameworks for NLP researchers to accelerate algorithm validation.
- Cost-Effective PHelps enterprises deploy large models on local servers using quantization and fine-tuning technologies under limited computing power.
- Education & PracOffers high-quality open-source materials for students and developers to learn LLM principles and gain hands-on experience.
Pricing and free quota
Pricing and any free quota follow the official site.
Who it is for
- AI Researchers
- LLM Application Developers
- University CS Faculty and Students
- Enterprise Tech Teams Seeking Private Deployment
FAQ
What is the relationship between OpenBMB and ChatGLM?
OpenBMB is an open-source project brand initiated by Tsinghua University's THUNLP lab.ChatGLM is one of the well-known open-source LLM series developed by this team, hosted within the OpenBMB ecosystem.
Is there a fee to use OpenBMB tools?
Most model codes and tool libraries provided by OpenBMB are open-source and free.However, commercial usage rights must comply with the specific open-source licenses (such as MIT or Apache 2.0) associated with each model.
How can I run these large models locally?
You can visit the corresponding GitHub repositories, install dependencies (such as PyTorch) following the README instructions, and use the provided inference scripts to load model weights.