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Hugging Face adds native GGUF support to Transformers

Hugging Face added native GGUF loading to Transformers, letting Apple Silicon users run quantized checkpoints with standard APIs.

๐Ÿš€ RELEASES & LAUNCHES

  • Hugging Face adds native GGUF support to Transformers
    Hugging Face added native GGUF loading to Transformers.
    • Local AI users on Apple Silicon Macs can run GGUF checkpoints through Transformers.
    • The feature loads Hub GGUF files with from_pretrained and supports standard PyTorch generation APIs.
    • Transformers can serve GGUF models through an OpenAI-compatible API via transformers serve.
    • Quantized files reduce memory needs: Qwen3.5-4B Q4_K_M is 2.74 GB versus 8.42 GB in BF16.
    • The integration gives builders Transformers tooling for debugging, evaluation, and custom generation while reusing ggml kernels on supported Apple Silicon.
    Sources ๐Ÿ“„ Source: github.com ยท ๐Ÿ“Ž Coverage: huggingface.co ยท ๐Ÿ‘ via r/LocalLLaMA

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