llama-cli --hf-repo Disya/Qwen3-30B-A3B-Instruct-2507_Pruned_REAP-15B-A3B-SafeTensors-Q4_0-GGUF --hf-file qwen3-30b-a3b-instruct-2507_pruned_reap-15b-a3b-safetensors-q4_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Disya/Qwen3-30B-A3B-Instruct-2507_Pruned_REAP-15B-A3B-SafeTensors-Q4_0-GGUF --hf-file qwen3-30b-a3b-instruct-2507_pruned_reap-15b-a3b-safetensors-q4_0.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 Disya/Qwen3-30B-A3B-Instruct-2507_Pruned_REAP-15B-A3B-SafeTensors-Q4_0-GGUF --hf-file qwen3-30b-a3b-instruct-2507_pruned_reap-15b-a3b-safetensors-q4_0.gguf -p "The meaning to life and the universe is"

./llama-server --hf-repo Disya/Qwen3-30B-A3B-Instruct-2507_Pruned_REAP-15B-A3B-SafeTensors-Q4_0-GGUF --hf-file qwen3-30b-a3b-instruct-2507_pruned_reap-15b-a3b-safetensors-q4_0.gguf -c 2048