jingyaogong / minimind

TL;DR

MiniMind is an open-source language model that can be trained from scratch for just $3 and in 2 hours on a standard GPU, aiming to democratize AI development. It includes a simplified architecture and a complete training pipeline covering various advanced techniques.

✦ Why It Matters

Start experimenting with MiniMind to enhance your understanding of language model training today.

Key Takeaways

Train a language model from scratch for under $3.
Complete training pipeline available for easy replication.
No reliance on third-party libraries for core algorithms.
Supports multimodal and various model architectures.

How It Works

MiniMind utilizes a straightforward architecture that allows users to train a language model using their own data. The training process includes pre-training on a large corpus followed by supervised fine-tuning, all implemented in PyTorch.

The project emphasizes transparency by providing the complete codebase, enabling users to understand each step of the training process.

jingyaogong / minimind

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