MiniMax Releases M1: A 456B Hybrid-Attention Model for Long-Context Reasoning and Software Tasks
SMRTR summary
MiniMax has unveiled MiniMax-M1, an open-weight language model for long-context reasoning and tool use. The 456 billion parameter model features a hybrid MoE architecture and "lightning attention" mechanism, supporting context lengths up to 1 million tokens. M1 excels in long-context tasks, software engineering, and math benchmarks, but some users report slow performance in practical applications. The model is available via HuggingFace and MiniMax MCP Server for developers to experiment with.
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