QuantizeLab — GGUF in minutes

QuantizeLab streamlines model conversion, allowing users to run large models like Llama, Mistral, or Qwen on personal hardware without extensive resources. Key features include: • No local GPU required for conversion • Quantized models directly pushed to your Hugging Face account • Credit-based pricing: pay per job, refunded on failure • Supports various quantization formats: GGUF, AWQ, GPTQ, EXL2 (with GGUF available now) • Converts models up to 15 billion parameters This platform eliminates the need for specialized hardware, hours of processing time, or deep technical expertise. Simply provide your model's Hugging Face URL, select your desired quantization format, and initiate the process. QuantizeLab's managed GPU cluster handles the complex conversion and ensures the output is securely transferred directly to your own Hugging Face repository, maintaining your ownership and control over the model weights. Designed for developers, researchers, and hobbyists who frequently work with open-source models and require efficient deployment on varied hardware. It's ideal for those looking to optimize models for local inference, edge devices, or environments with limited computational power. QuantizeLab supports your projects by making powerful models accessible and runnable across a broader range of systems.