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> ML_LITERATURE // GERGANOV-2023-LLAMACPP-PORT-OF-LLAMA-MODEL-IN-C-CPP_v1.0

llama.cpp: Inference of LLaMA model in pure C/C++

Georgi Gerganov · GitHub Technical Report / Open-Source System (2023)

systems2023industry-standardnotAssessed

Principal Contribution

Implemented pure C/C++ zero-dependency quantized inference with AVX2/AVX-512, ARM NEON, and Metal GPU offloading, creating the GGUF file format for universal on-device LLM execution.

Operational Relevance

Serves as qualified reference for implementing task-text-generation in production systems.

Assumptions

  • Underlying computational topology and mathematical bounds adhere to established convexity/smoothness guarantees

Limitations

  • Hardware runtime speedups, privacy budgets, and convergence depend on hyperparameters and network communication limits

Connected Algorithms, Architectures & Tools

Related Algorithms:
Related Architectures:
Implementing Libraries: