Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)
brew install llama.cpp
Invoke the llama.cpp server or the CLI.
CLI:
llama-cli --hf-repo SimpleBerry/LLaMA-O1-Supervised-1129-Q2_K-GGUF --hf-file LLaMA-O1-Supervised-1129-q2_k.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo SimpleBerry/LLaMA-O1-Supervised-1129-Q2_K-GGUF --hf-file LLaMA-O1-Supervised-1129-q2_k.gguf -c 2048
Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.
Step 1: Clone llama.cpp from GitHub.
git clone https://github.com/ggerganov/llama.cpp
Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1
flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
cd llama.cpp && LLAMA_CURL=1 make
Step 3: Run inference through the main binary.
./llama-cli --hf-repo SimpleBerry/LLaMA-O1-Supervised-1129-Q2_K-GGUF --hf-file LLaMA-O1-Supervised-1129-q2_k.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo SimpleBerry/LLaMA-O1-Supervised-1129-Q2_K-GGUF --hf-file LLaMA-O1-Supervised-1129-q2_k.gguf -c 2048
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