End-to-End Development Pipeline for MiniMind-V
Distinguished from many open source projects that only provide core algorithms, MiniMind-V realizes a full chain solution from data preparation to model deployment. This completeness greatly reduces the threshold of use for developers.
- Data link:Contains 570,000 pre-trained images and 300,000 fine-tuning data
- Training support:Provides pre-training and supervised fine-tuning of complete scripts
- Deployment program:Supports both command line and web interface interaction
- Tool Integration:Built-in wandb training monitor support
The project developers have pre-processed the dataset (.jsonl format) and users can download and use it directly. The training process supports multi-card parallel acceleration, and the model weights can be exported to PyTorch or Transformers format. The complete tool chain allows developers to complete the whole process from scratch to practical application in a very short time.
This answer comes from the articleMiniMind-V: 1 hour training of a 26M parameter visual language modelThe
May not be reproduced without permission:AI productivity tools " MiniMind-V provides a complete model training to deployment solution.
