OpenBMB

OpenBMBIt was jointly supported by Tsinghua University, the Academy of Artificial Intelligence, and others.AI open source communityWith the mission of "bringing large language models to every household," the platform focuses on the democratization of large language models and related ecosystem tools, providing...Complete AI training model toolchainThis lowers the barriers to research and application of AI projects.OpenBMBIt plays an important role in the open sharing of many AI training tools and promotes the popularization of AI innovation.

source:OpenBMB Official Website

In today's era of rapid development of AI technologyLarge Language Model (LLM)And related AI training model platforms have become an important driving force for industrial innovation. This is supported by prestigious academic institutions such as Tsinghua University and the Academy of Artificial Intelligence.OpenBMBWith the mission of "bringing large-scale AI models to every household," OpenBMB is promoting the democratization, standardization, and practical application of AI large-scale models. This article will take the form of a news report to provide a detailed introduction to the OpenBMB platform, covering its background, functions, pricing, usage methods, and target audience. Lists, tables, and authoritative links will be interspersed throughout to help readers efficiently understand this representative platform of China's original AI open-source ecosystem.

Introduction to OpenBMB and Platform Vision

OpenBMB (Open Lab for Big Model Base)As one of the most influential AI open-source communities in China, it focuses onLarge-scale pre-trained language model libraryThe development of infrastructure and related ecosystem tools. OpenBMB was initiated by the Natural Language Processing Laboratory and the Academy of Artificial Intelligence of Tsinghua University, aiming to lower the barriers to training, deploying and applying large-scale models with hundreds of billions of data points, and accelerate the integration of AI large-scale model technology with real-world scenarios.

据OpenBMB Official WebsiteThe introduction states that the team behind it is Chinese.Pioneers in the field of natural language processing and pre-trained model researchThe platform has released well-known models such as CPM-1, CPM-2, CPM-3, and ERNIE at top global conferences, and has laid a solid foundation in areas such as knowledge-guided pre-training, efficient parameter fine-tuning, and model compression. Based on open source, community, and standardization, the platform provides developers, researchers, enterprises, and the general public with a one-stop AI large-scale model infrastructure.

Main functions of OpenBMB

OpenBMB providesComplete AI training model toolchainIt covers multiple stages of model development, including training, compression, inference, fine-tuning, and Prompt engineering, greatly reducing the barriers to AI project research and application. The following is a list and table summarizing the core functional modules of OpenBMB:

Feature list

• BMTrainA highly efficient engine for pre-training and fine-tuning large models, with training costs as low as 90% compared to similar frameworks.
• BMCookA model compression library combining multiple algorithms, ensuring performance while accelerating inference by more than 10 times.
• BMInfA low-cost, large-model inference solution that can efficiently run models with billions of parameters using ordinary graphics cards costing around a thousand yuan.
• OpenPromptA unified interface for Prompt learning template language drives innovation in prompting engineering.
• OpenDeltaParameters can be finely adjusted efficiently, and it supports collaboration with Prompt. Fine-tuning parameters less than 5% can achieve the effect of full adjustment.
• ModelCenterA comprehensive model repository that supports rapid fine-tuning and distributed training of mainstream AI training models.

Function Comparison and Featured Tables

CheckOpenBMB Main Features Details。

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OpenBMB Pricing & Plans

As an open source communityMost of OpenBMB's core resources are freely available to the public.The platform encourages developer participation, corporate collaboration, and academic cooperation to promote the popularization of AI innovation. Specifically, OpenBMB opens up its various tools in the following ways:

NoticeFor large-scale enterprise-level deployment or technical support, it is recommended to contact us through the "Cooperation" channel on the official website.

How to use OpenBMB

OpenBMB is designed to be highly modular.Supports flexible, on-premises or cloud deployment.Users can efficiently perform AI training/inference/compression tasks by following these steps:

Brief description of the usage process

1. Visit the official website to obtain resources
   Log in directlyOpenBMB Official Website或GitHub project homepageBrowse tools and documents.
2. Download toolkits or models
   Choose BMTrain/BMCook/BMInf, etc., as needed, or...ModelCenterRetrieval model.
3. Consult the developer documentation
   Detailed API, deployment guidelines, and compatibility information are available at [website/platform name].Technical Documentation CenterAll are explained.
4. Local/Cloud Environment Configuration
   Only a commonly used deep learning framework environment, such as PyTorch, is required, and some inference modules can run on low-end graphics cards.
5. Parameter tuning and training/inference
   Based on the actual scenario, customize the model structure, prompt templates, etc., to improve the effect of AI training model.
6. Community interaction and technical support
   Participation is possibleforumGet support through discussion forums and code issues.

Who is OpenBMB suitable for?

OpenBMBTargeting multiple levels of the AI ecosystem, and widely adaptable to the following users:

• AI developers/researchers
  Gain access to cutting-edge AI training model libraries and validation platforms to support paper innovation and empirical verification.
• Enterprise Technology Team
  Enterprise-level large model customization, compressed deployment, and local inference requirements.
• Universities and teaching institutions
  Used for course practice, innovative experiments, and talent cultivation.
• AI beginners and enthusiasts
  Experience large-scale technology with low barriers to entry and participate in open-source collaborations.
• Open source community and non-profit organizations
  Build an AI ecosystem together and promote the democratization and universal access to technology.

OpenBMB Large Language Model and Representative AI Training Model

The OpenBMB platform has released several pre-trained models with industry influence. The table below extracts some representative results and provides parameter scales and licensing information for reference.

Note:All model training data, evaluation benchmarks, and performance comparisons are available at [website/platform name].Model Library PageDetailed instructions are provided.

Typical application scenario examples

OpenBMBIts AI training models have had a significant impact in the following areas:

• Intelligent dialogue systems and large-scale question-answering robots
• Text generation and content creation assistance
• Cross-agent collaboration (multimodal AI, automatic labeling, etc.)
• Industry knowledge management and the construction of large-scale enterprise knowledge bases
• Low-power AI model embedding in edge/mobile devices

Open source community ecosystem and cooperation models

OpenBMB consistently adheres to the "open source + collaborative development" model, actively participating in the construction of cutting-edge global AI communities. Its collaboration methods primarily include:

• GitHub Open Source Collaboration（Portal): Code contributions, issue resolutions, and pull request feedback.
• Community activities/live coursesIt includes lectures, workshops, and online paper sharing.
• Customized R&D for Enterprises/Organizations: Tailor-made large-scale model training solutions for specific industries and commercial companies.
• Academic/Research Collaborative InnovationCollaborate with top universities and research institutions at home and abroad to promote methodological breakthroughs.

Frequently Asked Questions

1. Is OpenBMB free for enterprises? In which scenarios is a license required?

answer:Most of OpenBMB's core tools and pre-trained models are free for commercial use (source must be acknowledged and licenses must be followed). However, for in-depth customization, large-scale enterprise integration, or professional operation and maintenance services, it is recommended to obtain prior authorization through [unclear - possibly a third-party platform].Cooperation portalContact the official channels to discuss authorization details.

2. Which mainstream hardware and cloud service platforms does OpenBMB support?

answer:The OpenBMB toolchain is highly compatible with mainstream GPUs (such as NVIDIA series), x86/ARM architecture servers, and mainstream cloud computing platforms, including Alibaba Cloud and Tencent Cloud. The inference module BMINF can run efficiently on mid-range graphics cards (such as GTX 1060) and supports hybrid cloud and local deployment.

3. What are the differences and advantages of OpenBMB compared to mainstream international LLM platforms?

answer:

• Domestically produced and controllableOpenBMB is entirely developed by local academic and industry collaborations, providing compliant large-scale AI models and training tools.
• Active open source ecosystemIt boasts a large number of local Chinese contributors and deep localization adaptations, resulting in rapid community feedback.
• Frontiers of Technological InnovationIt has made several industry firsts in the fields of compression, fine-tuning, and Prompt engineering.
• Business/Public Welfare FriendlyFree commercial licenses are flexible and suitable for all types of entities to use immediately.

For more technical comparisons, please see [link/reference].OpenBMB Technical Documentation Section。

OpenBMB is setting an example in the AI open-source community in China and around the world, pushing the innovation and popularization of AI training models to new heights. Whether for scientific research, education, innovation, or industrial intelligence, OpenBMB provides developers and users with an open, advanced, and low-barrier large-scale model infrastructure, helping more enterprises and innovators embrace the intelligent era.Visit the OpenBMB official website nowThis marks the beginning of a journey to empower large-scale models.

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