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upvoted a paper 9 days ago

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

Paper • 2506.13585 • Published 10 days ago • 236

upvoted a collection 9 days ago

MiniMax-M1

Collection

MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model. • 4 items • Updated 7 days ago • 97

upvoted a paper 29 days ago

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

Paper • 2505.19641 • Published about 1 month ago • 66

upvoted 2 papers about 1 month ago

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

Paper • 2505.18129 • Published May 23 • 59

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

Paper • 2505.07916 • Published May 12 • 124

liked 3 Spaces about 1 month ago

Running

61

61

MiniMaxVL01

💬

Generate responses using text and images

Running

109

109

MiniMaxText01

💬

Communicate with a multimodal chatbot

Running

94

94

MiniMax Speech Tech Report

🎙

Generate high-quality speech from text with MiniMax-Speech

upvoted an article 5 months ago

view article

Article

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

By •

Jan 15

• 47