khazaei / llm.cpp

C++ implementation of different language models optimized for Apple Silicon.

llm.cpp

C++ implementation of various language models optimized for Apple Silicon. Currently, only the forward pass of GPT2 is implemented. GPT2 is bit exact with pytorch implementation.

Inspiration came from llm.c.

Here are some rough profiling numbers on my Mac M1 Pro for generating a single token on the 124M parameter GPT2 model.

technique	seconds
no optimization	26.08
openMP, 10 threads	4.1
Neon SIMD	9.1
openMP + Neon	2.29

TODO

• Convert token id generated to string.
• Make a standalone app for running inference.
• Use c++ chronos for profiling.
• Implement on Metal.
• Implement backprop.
• Implement different models (llama).