This is the Windows app named GLM-5.1 whose latest release can be downloaded as GLM-5sourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named GLM-5.1 with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.
- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application and install it.
- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.
Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.
SCREENSHOTS:
GLM-5.1
DESCRIPTION:
GLM-5.1 is a next-generation large language model developed by Z.ai for advanced coding, reasoning, and long-horizon agentic engineering tasks. Built as the successor to GLM-5, the model significantly improves performance in software engineering benchmarks, repository generation, and real-world terminal-based workflows. GLM-5.1 is designed to remain effective over extended problem-solving sessions, allowing it to iteratively refine strategies, analyze failures, and sustain productivity across hundreds of reasoning cycles and tool calls. The model leverages large-scale pretraining, reinforcement learning infrastructure, and sparse attention mechanisms to improve efficiency while maintaining strong long-context understanding. It supports deployment through frameworks such as vLLM, SGLang, xLLM, and KTransformers, enabling scalable local inference for enterprise and research use cases.
Features
- Delivers state-of-the-art performance on coding and agentic engineering benchmarks like SWE-Bench Pro and Terminal-Bench 2.0.
- Designed for long-horizon reasoning with sustained optimization across extended multi-step workflows.
- Uses sparse attention and reinforcement learning infrastructure to improve efficiency and scalability.
- Supports local deployment through frameworks including vLLM, SGLang, xLLM, and KTransformers.
- Handles complex coding, repository generation, and terminal-based problem-solving tasks with advanced tool usage capabilities.
- Available in multiple precision formats, including BF16 and FP8, for flexible deployment and performance optimization.
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/glm-5-1.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.