MiniMax-M2.7-eagle-model-short

Papers using or citing this model 1

• EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test 376 citations · 2025 · arXiv (Cornell University) · arXiv

  The sequential nature of modern LLMs makes them expensive and slow, and speculative sampling has proven to be an effective solution to this problem. Methods like EAGLE perform autoregression at the feature level, reusing top-layer...