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 qingy2024/GRMR-2B-Instruct-v2-Q8_0-GGUF --hf-file grmr-2b-instruct-v2-q8_0.gguf -p "The meaning to life and the universe is"
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qingy2024 GRMR-2B-Instruct-v2-GGUF online free url in huggingface.co:
GRMR-2B-Instruct-v2-GGUF is an open source model from GitHub that offers a free installation service, and any user can find GRMR-2B-Instruct-v2-GGUF on GitHub to install. At the same time, huggingface.co provides the effect of GRMR-2B-Instruct-v2-GGUF install, users can directly use GRMR-2B-Instruct-v2-GGUF installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
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