GLM-4.1V-9B-Thinking-Q6_K-GGUF

vvpml/GLM-4.1V-9B-Thinking-Q6_K-GGUF

This model was converted to GGUF format from zai-org/GLM-4.1V-9B-Thinking using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

Use with llama.cpp

Install llama.cpp

git clone --recursive --depth=1 --shallow-submodules github/ggml-org/llama.cpp
cd llama.cpp
cmake -S . -B build -DCMAKE_BLABLA=Release && cmake --build Build --config Release
# or something

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo vvpml/GLM-4.1V-9B-Thinking-Q6_K-GGUF --hf-file glm-4.1v-9b-thinking-q6_k.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo vvpml/GLM-4.1V-9B-Thinking-Q6_K-GGUF --hf-file glm-4.1v-9b-thinking-q6_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 vvpml/GLM-4.1V-9B-Thinking-Q6_K-GGUF --hf-file glm-4.1v-9b-thinking-q6_k.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo vvpml/GLM-4.1V-9B-Thinking-Q6_K-GGUF --hf-file glm-4.1v-9b-thinking-q6_k.gguf -c 2048