Transformers adds support for quantized GGUF models

Hugging Face described support for running quantized GGUF files in Transformers. Developers can load smaller models through familiar Python APIs without replacing their experimentation workflow.

GGUF is common in local AI, while quantization reduces memory use with possible quality tradeoffs. The initial integration focuses on Apple Silicon and supported model architectures.

The article still recommends llama.cpp when efficient local inference is the priority. Transformers integration is useful for research, evaluation and modification in Python; test both on your hardware before choosing.