I have older M1 air with 8GB, but still getting ober 23 t/s on 4B model.. and the quality of outputs is on par with top models of similar size.

1. Clone their forked repo: `git clone https://github.com/PrismML-Eng/llama.cpp.git`

2. Then (assuming you already have xcode build tools installed):

  cd llama.cpp
  cmake -B build -DGGML_METAL=ON
  cmake --build build --config Release -j$(sysctl -n hw.logicalcpu)

3. Finally, run it with (you can adjust arguments):

  ./build/bin/llama-server -m ~/Downloads/Bonsai-8B.gguf --port 80 --host 0.0.0.0 --ctx-size 0 --parallel 4 --flash-attn on --no-perf --log-colors on --api-key some_api_key_string

Model was first downloaded from: https://huggingface.co/prism-ml/Bonsai-8B-gguf/tree/main