Discover and explore top open-source AI tools and projects—updated daily.
TsingmaoAILarge model deployment CLI for domestic hardware
New!
Top 91.4% on SourcePulse
Summary
TsingmaoAI/xw-cli (Xuanwu CLI) aims to democratize the deployment of large AI models on domestic Chinese hardware, positioning itself as a domestic alternative to Ollama. It simplifies the process of running various models like Qwen, GLM-4.7, and DeepSeek-OCR, optimizing performance for specific domestic compute platforms and hardware, such as Huawei Ascend chips. The tool targets engineers and researchers seeking an easy, command-line driven approach to leverage local, often specialized, AI hardware without complex environment setup.
How It Works
Xuanwu CLI abstracts away intricate environment configurations and operator adaptations required for diverse AI hardware. It employs an automatic hardware detection system to recommend and route inference requests to the most suitable underlying engine, supporting multiple inference backends. This multi-engine approach ensures broad model compatibility and optimized performance tailored for domestic hardware architectures, enabling a "zero-threshold" deployment experience.
Quick Start & Requirements
curl -o- http://xw.tsingmao.com/install.sh | bashxw pull and xw run.http://xw.tsingmao.comhttp://xw.tsingmao.com/dochttp://xw.tsingmao.com/modelsHighlighted Details
Maintenance & Community
The project is maintained by the Tsingmao Intelligence team. Community interaction is encouraged via GitHub Issues and multiple WeChat groups for technical discussions and user experience sharing.
Licensing & Compatibility
The license type is not specified in the provided README. Compatibility for commercial use or linking with closed-source projects is undetermined without a stated license.
Limitations & Caveats
The tool is explicitly designed for Linux systems and requires specific, supported domestic hardware, potentially limiting its use on standard consumer hardware or other operating systems. Driver installation is a prerequisite. The project was officially open-sourced on February 2, 2026, suggesting it may still be in early stages of development or community adoption.
1 day ago
Inactive
kvcache-ai