TurboQuant MCP server

This is a helper that connects your AI assistant to a tool for making AI models smaller. It takes a large model and squeezes it down so it runs on normal computers instead of expensive machines. It is handy for people who work with AI models and want to try them out without a big budget.

What this MCP server does

You ask your AI something like shrink this model to a smaller size. Your AI passes that request to this helper program. The helper looks up the model, picks good settings for your computer, and runs the shrinking process. When it is done, you get a smaller model file you can download or send to Hugging Face. It can also check how much quality was lost and tell you what formats your computer can handle.

Click to zoom

What you can do with it

• Look up details about any model on Hugging Face, like its size and type
• Recommend the best shrinking format and settings for your computer
• Shrink a model into GGUF, GPTQ, or AWQ format
• Check which shrinking tools are already installed on your machine
• Measure how much quality a shrunk model lost
• Send your shrunk model to your Hugging Face account

Try asking your AI

• “Get info on meta-llama/Llama-3.1-8B-Instruct”
• “What quantization format should I use for Mistral-7B on my machine?”
• “Quantize meta-llama/Llama-3.1-8B to 4-bit GGUF”
• “Push my quantized model to myuser/model-GGUF on HuggingFace”

What it gives back to you

You get back plain answers in the chat: model details, a recommended format, a progress note, or a finished file path. For quality checks, you get a number called perplexity that tells you how much the model changed. When you push to Hugging Face, you get a link to your uploaded model.

Before you start

Who it's for

People who work with AI models and want to run them on regular computers, like data scientists, ML engineers, and hobbyists.