Instructions to use sokann/GLM-5.2-GGUF-2.244bpw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use sokann/GLM-5.2-GGUF-2.244bpw with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf sokann/GLM-5.2-GGUF-2.244bpw # Run inference directly in the terminal: llama cli -hf sokann/GLM-5.2-GGUF-2.244bpw
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf sokann/GLM-5.2-GGUF-2.244bpw # Run inference directly in the terminal: llama cli -hf sokann/GLM-5.2-GGUF-2.244bpw
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 sokann/GLM-5.2-GGUF-2.244bpw # Run inference directly in the terminal: ./llama-cli -hf sokann/GLM-5.2-GGUF-2.244bpw
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 sokann/GLM-5.2-GGUF-2.244bpw # Run inference directly in the terminal: ./build/bin/llama-cli -hf sokann/GLM-5.2-GGUF-2.244bpw
Use Docker
docker model run hf.co/sokann/GLM-5.2-GGUF-2.244bpw
- LM Studio
- Jan
- Ollama
How to use sokann/GLM-5.2-GGUF-2.244bpw with Ollama:
ollama run hf.co/sokann/GLM-5.2-GGUF-2.244bpw
- Unsloth Desktop
- Pi
How to use sokann/GLM-5.2-GGUF-2.244bpw with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf sokann/GLM-5.2-GGUF-2.244bpw
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "sokann/GLM-5.2-GGUF-2.244bpw" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use sokann/GLM-5.2-GGUF-2.244bpw with Docker Model Runner:
docker model run hf.co/sokann/GLM-5.2-GGUF-2.244bpw
- Lemonade
How to use sokann/GLM-5.2-GGUF-2.244bpw with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull sokann/GLM-5.2-GGUF-2.244bpw
Run and chat with the model
lemonade run user.GLM-5.2-GGUF-2.244bpw-{{QUANT_TAG}}List all available models
lemonade list
- Hermes Agent
How to use sokann/GLM-5.2-GGUF-2.244bpw with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf sokann/GLM-5.2-GGUF-2.244bpw
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 sokann/GLM-5.2-GGUF-2.244bpw
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use sokann/GLM-5.2-GGUF-2.244bpw with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf sokann/GLM-5.2-GGUF-2.244bpw
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "sokann/GLM-5.2-GGUF-2.244bpw" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
mindlab-research/Macaron-V1-Venti
8
#11 opened 2 months ago
by
pawarshardul
Testing 2.244bpw-muzzy-imatrix
1
#10 opened 3 months ago
by
shewin
KL version?
4
#9 opened 3 months ago
by
port25
Dual 3090 + ddr4 3200 performance
5
#8 opened 3 months ago
by
Inlinebrother
Testing 2.244bpw
🚀 1
2
#7 opened 3 months ago
by
shewin
Thank you for the excellent quant
🤗 1
#6 opened 3 months ago
by
Jon-Nielsen
Having issues with crashing
3
#5 opened 3 months ago
by
zambroni
What about 1.6-bit version?
👍 1
7
#4 opened 3 months ago
by
BahamutRU
Great Quant on my CPU only server
🚀 1
2
#3 opened 3 months ago
by
alain401
Pretty solid results with ik_llama and OpenCode!
🔥 1
11
#2 opened 3 months ago
by
phakio
PPLX / Benchmarks
3
#1 opened 3 months ago
by
Dsturb