Instructions to use dealignai/Gemma-4-31B-JANG_4M-CRACK with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use dealignai/Gemma-4-31B-JANG_4M-CRACK 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("dealignai/Gemma-4-31B-JANG_4M-CRACK") config = load_config("dealignai/Gemma-4-31B-JANG_4M-CRACK") # 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 dealignai/Gemma-4-31B-JANG_4M-CRACK with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "dealignai/Gemma-4-31B-JANG_4M-CRACK"
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": "dealignai/Gemma-4-31B-JANG_4M-CRACK" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent
How to use dealignai/Gemma-4-31B-JANG_4M-CRACK 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 "dealignai/Gemma-4-31B-JANG_4M-CRACK"
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 dealignai/Gemma-4-31B-JANG_4M-CRACK
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use dealignai/Gemma-4-31B-JANG_4M-CRACK with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "dealignai/Gemma-4-31B-JANG_4M-CRACK"
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 "dealignai/Gemma-4-31B-JANG_4M-CRACK" \ --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"
Disappointed: Vision feature is unusable (Outputs infinite <pad> tokens)
Before detailing the main issue, I want to note that the standard text/conversation mode works fine. In fact, it can even be jailbroken quite easily (for example, getting it to generate product serial numbers, regardless of whether they actually work).
However, I was really excited to test the vision capabilities of this model, and I'm quite disappointed to find that it doesn't seem to work at all for image recognition.
Whenever I attempt to process an image, the model gets stuck in an endless generation loop. I have tried adjusting the generation parameters to force a more deterministic output—specifically by setting temperature=0 and completely disabling the thinking feature—but the result remains exactly the same.
Output:
<pad> <pad> <pad> <pad> <pad> <pad> <pad> ... [repeats infinitely]
是的的确是这样,我的也是一样的效果,而且完全不识别图片。上传在vMLX的附件中也是没有用的。希望能够得到重视。
Yes, that's exactly the case. Mine has the same effect, and it doesn't recognize images at all. Uploading them as attachments in vMLX doesn't work either. I hope this issue can be taken seriously.