Overview
MiniMax-M2.7 is a 228.7B-parameter Mixture-of-Experts (MoE) language model from MiniMaxAI, released as open weights on Hugging Face.
- License: Other
- Context length: 200K tokens
- Languages: Multilingual
- Minimum hardware: ~130 GB VRAM
- Strengths: agentic coding and long-context reasoning
Highlights
- Self-evolving agent model — MiniMax-M2.7 targets long-horizon agentic work.
- Tool use & reasoning — plans and chains tool calls with a thinking trace.
- Agentic coding — multi-file edits and code-run-fix loops.
- 200K context — holds large repositories and long histories in one session.
What it is good at
The model's published capabilities are thinking, reasoning, tool use, and code. Those map to a few concrete jobs:
- Agentic coding loops — handles multi-file edits and code-run-fix cycles, calling shell, test runners, and other tools to validate its own changes before finishing.
- Long-context reasoning — the 200K window lets it hold a large repository, a long spec, or an extended chat history in view while it works through a problem step by step.
- Tool-driven workflows — it plans and chains calls across tools like browsers, retrieval, and code execution, using
<think>tags to keep its internal reasoning separate from the final answer across multiple turns.
Running it locally
At 228.7B parameters this is a heavy model. The full bf16 weights are roughly 457GB, and Unsloth's dynamic 4-bit GGUF brings that down to about 108GB, which fits on a machine with 128GB of RAM. A realistic local setup is 128GB or more of combined memory (VRAM plus system RAM for offloading); a Mac Studio needs at least 128GB unified memory for the MLX build. Pull the weights from Hugging Face:
huggingface-cli download MiniMaxAI/MiniMax-M2.7
From there you can serve it with vLLM or SGLang, load it through Transformers, or open it in Atomic Chat with a one-click load that runs the model on-device.
License
MiniMax-M2.7 ships under an "other" license. It permits non-commercial use, but commercial use requires prior written authorization from MiniMaxAI, and any commercial deployment must show prominent "Built with MiniMax M2.7" attribution. Read the license on the Hugging Face model page before using it in a paid product.