MiniMind's Core Values and Implementation Principles
As an open source project designed to lower the threshold of AI training, MiniMind has realized three major breakthroughs through technological innovation. Developer jingyaogong reconstructed PyTorch underlying code to abandon third-party dependencies, the use of a single card 3090 can be completed within two hours of the 26M parameter GPT model of the complete training process.
- Cost breakthrough: Training costs are kept at the RMB 3 level by optimizing computational graphs and tensor operations.
- technology integration: Integration of a complete technology stack of pre-training → instruction fine-tuning → RLHF, with support for cutting-edge methods such as LoRA and model distillation
- Code Friendliness: Fully commented code for the entire process from dataset cleaning to visualization training, GitHub project Star count continues to climb in the tech community
This answer comes from the articleMiniMind: 2 hours from scratch training 26M parameters GPT open source toolsThe
May not be reproduced without permission:AI productivity tools " MiniMind is an efficient open source tool for ordinary people to quickly train AI models
