MiniMind-V

What it can do

• Train a vision-language model from scratch

  Training dataset with images and text → 65M-parameter vision-language model

• Provide educational implementation of VLM architecture

  User studying machine learning → Readable, didactic code demonstrating VLM internals

• Execute rapid model training

  Training configuration and data → Trained model in approximately 2 hours

• Demonstrate vision-language model fundamentals

  Learning objectives for VLM understanding → Working example of multimodal AI system

Why it made the leaderboard

Train a 65M-parameter vision-language model from scratch in about 2 hours — a readable, didactic implementation for learning how VLMs actually work inside, not another black-box checkpoint.

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