Instructions to use AliceThirty/GLM-4.7-PRISM-Unsloth-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use AliceThirty/GLM-4.7-PRISM-Unsloth-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="AliceThirty/GLM-4.7-PRISM-Unsloth-GGUF", filename="IQ2_XXS/GLM-4.7-PRISM-IQ2_XXS-00001-of-00002.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use AliceThirty/GLM-4.7-PRISM-Unsloth-GGUF with 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:UD-Q4_K_XL # Run inference directly in the terminal: llama-cli -hf AliceThirty/GLM-4.7-PRISM-Unsloth-GGUF:UD-Q4_K_XL
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:UD-Q4_K_XL # Run inference directly in the terminal: llama-cli -hf AliceThirty/GLM-4.7-PRISM-Unsloth-GGUF:UD-Q4_K_XL
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:UD-Q4_K_XL # Run inference directly in the terminal: ./llama-cli -hf AliceThirty/GLM-4.7-PRISM-Unsloth-GGUF:UD-Q4_K_XL
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:UD-Q4_K_XL # Run inference directly in the terminal: ./build/bin/llama-cli -hf AliceThirty/GLM-4.7-PRISM-Unsloth-GGUF:UD-Q4_K_XL
Use Docker
docker model run hf.co/AliceThirty/GLM-4.7-PRISM-Unsloth-GGUF:UD-Q4_K_XL
- LM Studio
- Jan
- Ollama
How to use AliceThirty/GLM-4.7-PRISM-Unsloth-GGUF with Ollama:
ollama run hf.co/AliceThirty/GLM-4.7-PRISM-Unsloth-GGUF:UD-Q4_K_XL
- Unsloth Studio new
How to use AliceThirty/GLM-4.7-PRISM-Unsloth-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 AliceThirty/GLM-4.7-PRISM-Unsloth-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 AliceThirty/GLM-4.7-PRISM-Unsloth-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for AliceThirty/GLM-4.7-PRISM-Unsloth-GGUF to start chatting
- Pi new
How to use AliceThirty/GLM-4.7-PRISM-Unsloth-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf AliceThirty/GLM-4.7-PRISM-Unsloth-GGUF:UD-Q4_K_XL
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": "AliceThirty/GLM-4.7-PRISM-Unsloth-GGUF:UD-Q4_K_XL" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use AliceThirty/GLM-4.7-PRISM-Unsloth-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 AliceThirty/GLM-4.7-PRISM-Unsloth-GGUF:UD-Q4_K_XL
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 AliceThirty/GLM-4.7-PRISM-Unsloth-GGUF:UD-Q4_K_XL
Run Hermes
hermes
- Docker Model Runner
How to use AliceThirty/GLM-4.7-PRISM-Unsloth-GGUF with Docker Model Runner:
docker model run hf.co/AliceThirty/GLM-4.7-PRISM-Unsloth-GGUF:UD-Q4_K_XL
- Lemonade
How to use AliceThirty/GLM-4.7-PRISM-Unsloth-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull AliceThirty/GLM-4.7-PRISM-Unsloth-GGUF:UD-Q4_K_XL
Run and chat with the model
lemonade run user.GLM-4.7-PRISM-Unsloth-GGUF-UD-Q4_K_XL
List all available models
lemonade list
HF Scanner marks these files as 'unsafe'. Why?
HF Scanner marks these files as 'unsafe'. Why?
Didn't know .gguf could be unsafe... confused.
I have no idea either
maybe because I created the gguf using my own fork of llama-cpp, to be able to chose the quantization level of each layer like unsloth did
Ah yes it's those template hacks making agentic harnesses do bad things, that's out of scope for me.
Best if someone would do a heuristic scanner for local users - catch any python nastiness etc in the jinja template.