This is the Windows app named CogVLM whose latest release can be downloaded as CogVLMsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named CogVLM 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
Ad
CogVLM
DESCRIPTION
CogVLM is an open-source visual–language model suite—and its GUI-oriented sibling CogAgent—aimed at image understanding, grounding, and multi-turn dialogue, with optional agent actions on real UI screenshots. The flagship CogVLM-17B combines ~10B visual parameters with ~7B language parameters and supports 490×490 inputs; CogAgent-18B extends this to 1120×1120 and adds plan/next-action outputs plus grounded operation coordinates for GUI tasks. The repo provides multiple ways to run models (CLI, web demo, and OpenAI-Vision–style APIs), along with quantization options that reduce VRAM needs (e.g., 4-bit). It includes checkpoints for chat, base, and grounding variants, plus recipes for model-parallel inference and LoRA fine-tuning. The documentation covers task prompts for general dialogue, visual grounding (box→caption, caption→box, caption+boxes), and GUI agent workflows that produce structured actions with bounding boxes.
Features
- Pretrained VLMs (CogVLM-17B) and GUI-capable CogAgent-18B
- Multi-turn image dialogue, visual grounding, and GUI action planning
- Ready-to-use demos: CLI (SAT/HF), Gradio web UI, and OpenAI-Vision–style API
- Checkpoints for chat/base/grounding variants with prompt templates
- Quantization support (4-bit/8-bit) and model-parallel inference on multi-GPU
- Fine-tuning examples (e.g., CAPTCHA) and evaluation scripts
Programming Language
Python, Unix Shell
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/cogvlm.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.