How to use rg113/MiniMax-M2.7-oQ6 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download rg113/MiniMax-M2.7-oQ6 --local-dir MiniMax-M2.7-oQ6
How to use rg113/MiniMax-M2.7-oQ6 with Pi:
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "rg113/MiniMax-M2.7-oQ6"
# 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": "rg113/MiniMax-M2.7-oQ6" } ] } } }
# Start Pi in your project directory: pi
How to use rg113/MiniMax-M2.7-oQ6 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 rg113/MiniMax-M2.7-oQ6
hermes
How to use rg113/MiniMax-M2.7-oQ6 with 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 "rg113/MiniMax-M2.7-oQ6" \ --custom-provider-id mlx-lm \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
openclaw agent --local --agent main --message "Hello from Hugging Face"
https://huggingface.co/rg113/MiniMax-M2.7-oQ6/resolve/main/tokenizer.json
hf download hf://rg113/MiniMax-M2.7-oQ6/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/rg113/MiniMax-M2.7-oQ6/resolve/main/tokenizer.json
