jingyaogong/minimind vs rasbt/LLMs-from-scratch
Compare jingyaogong/minimind and rasbt/LLMs-from-scratch using the current verified snapshot: positioning, license, deployment, use cases, limitations, and original sources.
jingyaogong/minimind
An open-source educational project that enables individuals to train and understand a 64M-parameter LLM from scratch in approximately 2 hours using native PyTorch. It covers the complete model training lifecycle and provides open-source data, model architectures, and inference tools.
- License
- Apache-2.0
- Deployment
- Refer to project documentation
- Use cases
- Developers, educators, and researchers who want to inspect and run unabstracted PyTorch code to learn how LLMs are trained from scratch.
- Updated
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rasbt/LLMs-from-scratch
A step-by-step educational tutorial for implementing a small-but-functional GPT-like large language model from scratch using PyTorch and Python. It is designed for learning the internal mechanics of LLMs, including data preparation, attention mechanisms, pretraining, and finetuning.
- License
- License pending
- Deployment
- Refer to project documentation
- Use cases
- Chat Assistants · Learning & Education
- Updated
- 2026-07-17T04:22:14Z
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