MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model.
Appears on
Quick read
Latest capture 2026-09-07 10:55
0 paths
Agent instructions and tool configuration found in this repository.
No config files detected.
1 observed capture since 2026-09-07. Observed captures are shown by default.
Stars from first capture 0
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
MiniMax-M2, a model built for Max coding & agentic workflows.
The official repo of MiniMax-Text-01 and MiniMax-VL-01, large-language-model & vision-language-model based on Linear Attention
No description.
A simple, performant, and scalable Jax LLM!
DeepSeek LLM: Let there be answers
A minimal yet professional single agent demo project that showcases the core execution pipeline and production-grade features of agents.
