Instructions to use DreamFoundries/supergemma4-26b-abliterated-multimodal-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use DreamFoundries/supergemma4-26b-abliterated-multimodal-4bit with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("DreamFoundries/supergemma4-26b-abliterated-multimodal-4bit") prompt = "Write a story about Einstein" messages = [{"role": "user", "content": prompt}] prompt = tokenizer.apply_chat_template( messages, add_generation_prompt=True ) text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use DreamFoundries/supergemma4-26b-abliterated-multimodal-4bit with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "DreamFoundries/supergemma4-26b-abliterated-multimodal-4bit"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "DreamFoundries/supergemma4-26b-abliterated-multimodal-4bit" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "DreamFoundries/supergemma4-26b-abliterated-multimodal-4bit", "messages": [ {"role": "user", "content": "Hello"} ] }' - Atomic Chat
- Xet hash:
- a984146a18e3ed85e83d44b0ac5c8008bea9a5615e217e96498077ee8d153023
- Size of remote file:
- 3.52 GB
- SHA256:
- 2e8b59409b9e9060a6a5069d20387af0e1e3334eb319849c769d9df1cec88af0
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