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upvoted a paper about 1 month ago

MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Paper • 2506.13585 • Published Jun 16 • 260

upvoted a collection about 1 month ago

MiniMax-M1

Collection

MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model. • 6 items • Updated 27 days ago • 110

upvoted 2 papers 2 months ago

SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond

Paper • 2505.19641 • Published May 26 • 67

One RL to See Them All: Visual Triple Unified Reinforcement Learning

Paper • 2505.18129 • Published May 23 • 60

upvoted a paper 3 months ago

MiniMax-Speech: Intrinsic Zero-Shot Text-to-Speech with a Learnable Speaker Encoder

Paper • 2505.07916 • Published May 12 • 129

liked 3 Spaces 3 months ago

Running

61

61

MiniMaxVL01

💬

Generate responses using text and images

Running

110

110

MiniMaxText01

💬

Communicate with a multimodal chatbot

Running

98

98

MiniMax Speech Tech Report

🎙

Generate high-quality speech from text with MiniMax-Speech

upvoted an article 7 months ago

view article

Article

MiniMax-01 is Now Open-Source: Scaling Lightning Attention for the AI Agent Era

By •

Jan 15

• 47