Instructions to use mlx-community/gemma-4-12B-it-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/gemma-4-12B-it-bf16 with MLX:
# Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import apply_chat_template from mlx_vlm.utils import load_config # Load the model model, processor = load("mlx-community/gemma-4-12B-it-bf16") config = load_config("mlx-community/gemma-4-12B-it-bf16") # Prepare input image = ["http://images.cocodataset.org/val2017/000000039769.jpg"] prompt = "Describe this image." # Apply chat template formatted_prompt = apply_chat_template( processor, config, prompt, num_images=1 ) # Generate output output = generate(model, processor, formatted_prompt, image) print(output) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Pi
How to use mlx-community/gemma-4-12B-it-bf16 with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "mlx-community/gemma-4-12B-it-bf16"
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "mlx-community/gemma-4-12B-it-bf16" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent
How to use mlx-community/gemma-4-12B-it-bf16 with Hermes Agent:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "mlx-community/gemma-4-12B-it-bf16"
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 mlx-community/gemma-4-12B-it-bf16
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use mlx-community/gemma-4-12B-it-bf16 with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "mlx-community/gemma-4-12B-it-bf16"
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 "mlx-community/gemma-4-12B-it-bf16" \ --custom-provider-id mlx-lm \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Gemma 4 12B MLX Model Fails to Load: gemma4_unified Not Supported
The model downloads successfully (~12.7 GB), but fails during model initialization with:
ModuleNotFoundError: No module named 'mlx_lm.models.gemma4_unified'
ValueError: Model type gemma4_unified not supported.
Command used :
python3 -m mlx_lm server
--model "mlx-community/gemma-4-12B-it-8bit"
The same error occurs with both mlx-community/gemma-4-12B-it-bf16 and mlx-community/gemma-4-12B-it-8bit
just upgrade your version...
$ pip3 list | grep mlx
mlx 0.31.2
mlx-audio 0.4.4
mlx-lm 0.31.3
mlx-metal 0.31.2
mlx-optiq 0.2.7
mlx-vlm 0.6.3
$ pip3 --version
pip 26.1.2 from /Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/pip (python 3.13)
unfortunately it does not work... is it working for you, and if so, could you detail how you have installed it?
thanks!
use this:
to upgrade all of them:
Very-FIRST Upgrade pip:
pip3 install -U pip
and afterwards do a little-execution of this:
pip3 install -U mlx mlx-lm mlx-metal mlx-optiq mlx-vlm mlx-audio
thanks! I did, and pip said there was nothing to do, and the 2nd one updated optiq (0.2.7 -> 0.2.9); so now I have:
mlx 0.31.2
mlx-audio 0.4.4
mlx-lm 0.31.3
mlx-metal 0.31.2
mlx-optiq 0.2.9
mlx-vlm 0.6.3
do these versions match yours?
i hope you stop trying to run gemma4-12B , its slow and not very great at coding...
thats only in case if you managed to run it...
Actually No , i don't have a any of apple products currently..
consider try a different model or cheap Nvidia GPUs or DGX small computers...