Instructions to use bartowski/zai-org_GLM-4.5-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use bartowski/zai-org_GLM-4.5-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="bartowski/zai-org_GLM-4.5-GGUF", filename="zai-org_GLM-4.5-IQ1_M/zai-org_GLM-4.5-IQ1_M-00001-of-00003.gguf", )
llm.create_chat_completion( messages = [ { "role": "user", "content": "What is the capital of France?" } ] ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use bartowski/zai-org_GLM-4.5-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf bartowski/zai-org_GLM-4.5-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf bartowski/zai-org_GLM-4.5-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf bartowski/zai-org_GLM-4.5-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf bartowski/zai-org_GLM-4.5-GGUF:Q4_K_M
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 bartowski/zai-org_GLM-4.5-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf bartowski/zai-org_GLM-4.5-GGUF:Q4_K_M
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 bartowski/zai-org_GLM-4.5-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf bartowski/zai-org_GLM-4.5-GGUF:Q4_K_M
Use Docker
docker model run hf.co/bartowski/zai-org_GLM-4.5-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use bartowski/zai-org_GLM-4.5-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "bartowski/zai-org_GLM-4.5-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "bartowski/zai-org_GLM-4.5-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/bartowski/zai-org_GLM-4.5-GGUF:Q4_K_M
- Ollama
How to use bartowski/zai-org_GLM-4.5-GGUF with Ollama:
ollama run hf.co/bartowski/zai-org_GLM-4.5-GGUF:Q4_K_M
- Unsloth Studio new
How to use bartowski/zai-org_GLM-4.5-GGUF with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for bartowski/zai-org_GLM-4.5-GGUF to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for bartowski/zai-org_GLM-4.5-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for bartowski/zai-org_GLM-4.5-GGUF to start chatting
- Pi new
How to use bartowski/zai-org_GLM-4.5-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf bartowski/zai-org_GLM-4.5-GGUF:Q4_K_M
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "bartowski/zai-org_GLM-4.5-GGUF:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use bartowski/zai-org_GLM-4.5-GGUF with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf bartowski/zai-org_GLM-4.5-GGUF:Q4_K_M
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default bartowski/zai-org_GLM-4.5-GGUF:Q4_K_M
Run Hermes
hermes
- Docker Model Runner
How to use bartowski/zai-org_GLM-4.5-GGUF with Docker Model Runner:
docker model run hf.co/bartowski/zai-org_GLM-4.5-GGUF:Q4_K_M
- Lemonade
How to use bartowski/zai-org_GLM-4.5-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull bartowski/zai-org_GLM-4.5-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.zai-org_GLM-4.5-GGUF-Q4_K_M
List all available models
lemonade list
BRAVO!
Just wanted to say that you continue to be the GOAT for me when it comes to GGUFs for creative writing. This one really hits it out of the park. GLM-4.6 is also great, but I think I might even like 4.5 a little better π€·ββοΈ
Even my small IQ2 quant of 4.5 is doing just as good, if not better than the current late 2025 big frontier models. I was blown away with its ability to comprehend and carry out complex instructions (e.g., story building, world building, etc.) EXACTLY as I envisioned. A lot of other models seem to get lost in the sauce and/or default to its own tendencies at some point. But GLM-4.5 somehow "listens (haha)" very well in terms of what I want and in terms of what I'm going for.
Unsloth also does a great job with GGUF quantization as well, but tbh I def gotta give you the edge in terms of quants that are best for creative writing.