rasbt/reasoning-from-scratch
Implement a reasoning LLM in PyTorch from scratch, step by step
- Stars
- 5.4k
- Forks
- 868
- Open issues
- 3
- Last push
- 20d ago
About reasoning-from-scratch
reasoning-from-scratch is a free, open-source AI resource list by rasbt, written mainly in Jupyter Notebook. Implement a reasoning LLM in PyTorch from scratch, step by step. It has 5.4k GitHub stars and 868 forks, and was last updated 20d ago. It's released under the Apache-2.0 license, a standard open-source license. According to the project, it works on macOS.
- License
- Apache-2.0
- Language
- Jupyter Notebook
- Stars
- 5,440
- Last update
- 20d ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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reasoning-from-scratch FAQ
Is reasoning-from-scratch free?
Yes. reasoning-from-scratch is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does reasoning-from-scratch run on a Mac?
Yes. According to the project, reasoning-from-scratch works on macOS.
Does reasoning-from-scratch need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is reasoning-from-scratch still maintained?
Yes. It was last updated 20d ago and has 3 open issues on GitHub.
What are alternatives to reasoning-from-scratch?
Similar free, open-source tools include 500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code, Prompt-Engineering-Guide, tiny-llm, anomaly-detection-resources.