How to use thetom-ai/MiniMax-M3-ConfigI-MLX 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("thetom-ai/MiniMax-M3-ConfigI-MLX") 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)
How to use thetom-ai/MiniMax-M3-ConfigI-MLX with Pi:
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "thetom-ai/MiniMax-M3-ConfigI-MLX"
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "thetom-ai/MiniMax-M3-ConfigI-MLX" } ] } } }
# Start Pi in your project directory: pi
How to use thetom-ai/MiniMax-M3-ConfigI-MLX with Hermes Agent:
# 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 thetom-ai/MiniMax-M3-ConfigI-MLX
hermes
How to use thetom-ai/MiniMax-M3-ConfigI-MLX with MLX LM:
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "thetom-ai/MiniMax-M3-ConfigI-MLX"
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "thetom-ai/MiniMax-M3-ConfigI-MLX" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "thetom-ai/MiniMax-M3-ConfigI-MLX", "messages": [ {"role": "user", "content": "Hello"} ] }'
Looks like you’re still uploading. I’ve been using your llama.cpp TurboQuant branch and I’m excited to try this M3 variant!
I have a 256GB Studio and will run the standard benchmarks.
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