InternLM

Project Background and Positioning

egghead·浦语开源Large Model是一个全面而深入的大模型研究和开发平台，由上海人工智能实验室（上海AI实验室）主导开发，并联合了商汤科技、香港中文大学和复旦大学等机构共同推出。该项目致力于构建一个全面的大模型研究与开发工具链的开源组织，为AI开发者提供高效、易用的平台，以便更好地接触和利用最先进的大模型与算法技术。

Core Functions and Features

1. full chain of open source (computing)::
   • The Shusheng-Puyanghua Big Model adopts a full chain open source approach, including model training, inference, deployment and other aspects of the tools and frameworks are open source to the public.
   • This allows developers to build and deploy their own large model applications quickly based on these open source tools and frameworks for secondary development.
2. Efficient Training and Reasoning::
   • The Shusheng-Puu language large model uses an efficient model structure and training algorithm that supports fast pre-training on large clusters and fine-tuning on individual GPUs.
   • The project also provides a rich ecosystem of tools and libraries, such as the Lagent Intelligent Body Framework and the XTuner fine-tuning toolkit, to support rapid inference and deployment of models.
3. multimodal support::
   • The Shusheng-Pu language big model not only supports plain text processing, but also has the ability to process and analyze multimodal data.
   • For example, Pu Language-Spirit Pen is a visual-linguistic macromodel based on the Shusheng-Pu Language macromodel, which provides excellent graphic comprehension and authoring capabilities.
4. Rich application scenarios::
   • The Shusheng-Pu Language Grand Model can be applied to a variety of fields such as natural language processing, computer vision, speech recognition, and so on.
   • By integrating with other frameworks and tools, more complex tasks and application scenarios can be realized, such as intelligent dialogues, text generation, image recognition, and so on.
5. High Performance and Scalability::
   • The Shusheng-PuLiang large model excels in performance, supporting inputs of up to 200,000 Chinese characters, the longest contextual input length supported by any large model product in the world.
   • 同时，项目还提供了多种规格的模型供开发者选择，如InternLM2-7B和InternLM2-20B等，以满足不同应用场景的需求。

Open Source Versions and Tools

1. open source version::
   • Since its release, the Shusheng-Pu Language Grand Model has undergone several iterations and upgrades. Currently, several versions have been open-sourced, including InternLM, InternLM2, InternLM2.5, and so on.
   • Each version offers several model sizes for developers to choose from, and comes with detailed documentation and tutorials to help developers get started quickly.
2. open source tool::
   • In addition to the model itself, the Shusheng-Puyanghua Big Model also open-sources a series of supporting tools and frameworks.
   • For example, the Lagent Intelligent Body framework is used to build and train multimodal intelligences; the XTuner fine-tuning toolkit is used to support low-cost fine-tuning of large models; and the LMDeploy deployment framework is used to provide a full-flow solution for deploying large models on GPUs.

Community & Support

1. Developer Community::
   • The Shusen-Pura Grand Model has an active developer community with members from all over the world.
   • Community members can share their experiences, exchange ideas, ask questions and make suggestions, and work together to promote the development and improvement of the Shusheng-Puyin Big Model.
2. Technical Support and Documentation::
   • The Shusheng-Puru Language Grand Model provides extensive documentation and tutorials to help developers get started and use it quickly.
   • At the same time, the project also provides technical support and consulting services to answer questions and confusions encountered by developers in the process of use.

Application Cases and Prospects

1. Application Cases::
   • The Shusheng-Pu Language Grand Model has been applied in a number of fields. For example, in the field of intelligent dialog, it can realize natural interaction with humans; in the field of text generation, it can automatically generate high-quality text content; in the field of computer vision, it can realize functions such as image recognition and graphic understanding.
2. outlook::
   • With the continuous development and popularization of artificial intelligence technology, the Shusheng-Puyin big model is expected to be more widely used and promoted in the future.
   • It will continue to optimize and improve its functions and performance, and enhance the accuracy and efficiency of its models; at the same time, it will actively explore new application scenarios and solutions to meet changing market demands and user expectations.