Gguf Quantization
원문: gguf-quantization
GGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardware, Apple Silicon, or when needing flexible quantization from 2-8 bit without GPU requirements.
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GGUF Quantization Format for llama.cpp The GGUF (GPT Generated Unified Format) is the standard file format for llama.cpp, enabling efficient inference on CPUs, Apple Silicon, and GPUs with flexible quantization options. When to use GGUF Use GGUF when: Deploying on consumer hardware (laptops, desktops) Running on Apple Silicon (M1/M2/M3) with Metal acceleration Need CPU inference without GPU requirements Want flexible quantization (Q2 K to Q8 0) Using local AI tools (LM Studio, Ollama, text generation webui) Key advantages: Universal hardware : CPU, Apple Silicon, NVIDIA, AMD support No Python runtime : Pure C/C++ inference Flexible quantization : 2 8 bit with various methods (K quants) Ecosy…
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