DeepSeek-R1-0528 is super open source! Local server zero-code deployment artifact: OpenStation

The new version of DeepSeek-R1-0528 model is the latest open source, achieving breakthrough performance improvements in fields such as mathematical reasoning and code generation, and significantly reducing illusions. The core performance indicators have reached the level of leading closed-source models. For users who need to localize the DeepSeek model, replacing the original R1 model with version 0528 can further improve business capabilities. Today, I would like to share with you an open source tool OpenStation. It has been adapted to the new version of Deepseek-R1-0528 model and can quickly complete service deployment and distribution of the new model within a cluster without code. This tool also provides simple and efficient service management and resource management functions, helping enterprise users deploy and use the Deepseek-R1-0528 version model safely and conveniently on local servers. The following is the tool open source homepage. You can download it and learn more. If you have any questions, you can also join Group chats and technical expert communication and consultation through the "User Communication" module of the project homepage: OpenStation Open Source Home Page: Visit   software introduction   OpenStation is a one-stop large model deployment management platform specially designed for enterprises and developers, helping users quickly and conveniently deploy and experience large model service capabilities. The platform provides complete model management, service deployment and user collaboration functions, is compatible with standard OpenAI API interfaces, has a built-in efficient inference engine, and provides flexible resource expansion and reduction and refined rights management mechanisms. The main features of OpenStation include: Easy to use: With page-based operations, you can quickly deploy large models such as DeepSeek in just a few clicks Standard interfaces: Deployed services provide standard OpenAI API-compatible interfaces to facilitate rapid access by multiple client tools High performance: Support SGLang, vLLM and CPU deployment methods, support stand-alone and distributed deployment, and provide efficient and flexible inference engine capabilities Convenient resource management: Through page-based operations, you can quickly add and delete platform node resources Load Balancer: Provides a unified reasoning service entry to support rapid capacity expansion and capacity reduction without service perception User authentication management: Supports API-key authentication management in the user dimension and realizes access control for inference services   use method   1. deployment model Deepseek and Qwen3 models can be easily deployed in OpenStation. You can automatically download the model by clicking the corresponding version name of the model. The latest version template of DeepSeek-R1-0528 has been adapted. OpenStation also supports incoming user-specified local models for deployment. Depending on the computing resources selected during the deployment process, OpenStation will use different frameworks such as vLLM and SGLang to provide CPU and GPU acceleration for inference services. After the service is deployed, the inference service API for the large model can be obtained. In the interface, you can view the resource usage and health status of the inference service, and view service log information. 2. Distribution of services OpenStation can configure mailbox servers and distribute inference service access information to designated users, simplifying batch management of large model services. According to the configuration information, OpenStation users will be notified by email of how to use the new service after the service is launched. 3. resources management OpenStation can uniformly manage computing resources and service scheduling on multiple servers. Resource occupation information and operation and maintenance information can be visually viewed in the interface, and service deployment status can be summarized. OpenStation provides convenient capacity expansion and reduction of cluster nodes. After filling in the basic information of the specified server in the interface, OpenStation can include the corresponding server in the scope of service deployment and management. You can obtain the download package or download script of OpenStation in the open source community to learn more about how to use it. At the same time, in the "User Communication" module, you can also add expert communication Group chats to consult questions in real time and put forward product suggestions.   Project address: gitee.com/fastaistack/OpenStation