> 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:
