How to use from
llama.cpp
Install from brew
brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf AliceThirty/GLM-4.7-PRISM-Unsloth-GGUF:
# Run inference directly in the terminal:
llama-cli -hf AliceThirty/GLM-4.7-PRISM-Unsloth-GGUF:
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf AliceThirty/GLM-4.7-PRISM-Unsloth-GGUF:
# Run inference directly in the terminal:
llama-cli -hf AliceThirty/GLM-4.7-PRISM-Unsloth-GGUF:
Use pre-built binary
# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf AliceThirty/GLM-4.7-PRISM-Unsloth-GGUF:
# Run inference directly in the terminal:
./llama-cli -hf AliceThirty/GLM-4.7-PRISM-Unsloth-GGUF:
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf AliceThirty/GLM-4.7-PRISM-Unsloth-GGUF:
# Run inference directly in the terminal:
./build/bin/llama-cli -hf AliceThirty/GLM-4.7-PRISM-Unsloth-GGUF:
Use Docker
docker model run hf.co/AliceThirty/GLM-4.7-PRISM-Unsloth-GGUF:
Quick Links

I quantized GLM-4.7-PRISM using the same method than Unsloth Dynamics's GLM 4.7. I copied each tensor type from their quantization, and I used the same imatrix.
If you want a certain quantization type that I haven't uploaded yet, feel free to ask (the model is pretty big so I did only a few quantizations yet).

If you want to buy me a coffee https://ko-fi.com/alicesynthesisthirty, thank you, very much appreciated!

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