llama.cpp Source Code Analysis — A Technical Deep Dive
In-depth examination of the llama.cpp codebase covering quantization, memory management, inference optimization, and GPU acceleration.
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llama.cpp — Technical Deep Dive
llama.cpp is a C++ inference engine for LLaMA-family models on consumer hardware, including CPU-only systems.
Quantization
GGUF format supports 2-8 bit quantization. Q4_K_M reduces 7B models from 14GB to 4GB with minimal quality loss.
Inference Flow
Tokenize, load weights, compute logits via transformer forward pass, sample next token, append to context. KV-cache stores computed pairs.
APIs
C API, HTTP server with OpenAI-compatible endpoint, Python bindings.
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