MiniMax-AI/MiniMax-M1
MiniMax-M1 is an open-weight large-scale hybrid-attention reasoning model released by MiniMax.
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MiniMax-M1 claims to be the world’s first open-weight large-scale hybrid-attention reasoning model. The repository provides model weights and inference code for this reasoning model. It includes evaluation benchmarks, training methodology documentation, and is designed for research and deployment purposes in the reasoning model space.
Frequently asked
- What is MiniMax-AI/MiniMax-M1?
- MiniMax-M1 is an open-weight large-scale hybrid-attention reasoning model released by MiniMax.
- Is MiniMax-M1 open source?
- Yes — MiniMax-AI/MiniMax-M1 is open source, released under the Apache-2.0 license.
- What language is MiniMax-M1 written in?
- MiniMax-AI/MiniMax-M1 is primarily written in Python.
- How popular is MiniMax-M1?
- MiniMax-AI/MiniMax-M1 has 3.2k stars on GitHub.
- Where can I find MiniMax-M1?
- MiniMax-AI/MiniMax-M1 is on GitHub at https://github.com/MiniMax-AI/MiniMax-M1.