# minimax-ai/minimax-m1

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_How this analysis was created: the description and tags below were written by an AI model that read this project's README and public documentation pages; stars, license and language come straight from the GitHub API. The model does not read the source code._

3,159 stars · 284 forks · Python · Apache-2.0

## Links

- GitHub: https://github.com/MiniMax-AI/MiniMax-M1
- Homepage: https://www.minimax.io/
- awesome-repositories: https://awesome-repositories.com/repository/minimax-ai-minimax-m1.md

## Description

MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model.

## Tags

### Part of an Awesome List

- [Critic-Free Algorithms](https://awesome-repositories.com/f/awesome-lists/ai/critic-free-algorithms.md) — Scaling test-time compute using efficient attention mechanisms.
- [Frontier Reasoning Models](https://awesome-repositories.com/f/awesome-lists/ai/frontier-reasoning-models.md) — Reasoning model utilizing lightning attention for efficient compute.
- [Reasoning Models](https://awesome-repositories.com/f/awesome-lists/ai/reasoning-models.md) — High-performance reasoning model for complex queries.
