Instructions to use rg113/MiniMax-M2.7-oQ6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use rg113/MiniMax-M2.7-oQ6 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir MiniMax-M2.7-oQ6 rg113/MiniMax-M2.7-oQ6
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Pi
How to use rg113/MiniMax-M2.7-oQ6 with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "rg113/MiniMax-M2.7-oQ6"
Configure the model in Pi
# 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": "rg113/MiniMax-M2.7-oQ6" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use rg113/MiniMax-M2.7-oQ6 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 "rg113/MiniMax-M2.7-oQ6"
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 rg113/MiniMax-M2.7-oQ6
Run Hermes
hermes
MiniMax-M2.7-oQ6
This model was quantized using oQ (oMLX v0.4.0) mixed-precision quantization.
Quantization details
- Model type: minimax_m2
- Bits: 6
- Group size: 64
- Format: MLX safetensors
- Downloads last month
- 448
Model size
50B params
Tensor type
BF16
·
U32 ·
Hardware compatibility
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6-bit
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