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High Local AI · 1 min read

llama.cpp: speculative decoding with draft models for 2-3x speedup

In one sentence llama.cpp integrates speculative decoding with GGUF draft models: 2-3x speedup even on CPU, with cross-architecture support for models from different families.

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llama.cpp is the open-source library that enables running AI models on modest hardware. With this addition, it implements a technique called speculative decoding: a small, fast model (called a draft) generates a text proposal, and the large model verifies and corrects it in bulk rather than generating word by word. The result is 2 to 3 times faster generation, even on CPU, without sacrificing response quality.

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ggerganov

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llama.cpp

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llama.cppSpeculative DecodingGGUFPerformanceCPU InferenceLocal AI

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