train-llm-from-scratch vs caveman
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| train-llm-from-scratch | caveman | |
|---|---|---|
| Tagline | A method for training a Large Language Model (LLM) from scratch using Python. | Cuts 65% of tokens in AI coding agent responses. |
| Stars | 8.1k | 86k |
| Forks | 1.1k | 4.8k |
| Open issues | 2 | 370 |
| Language | Python | JavaScript |
| License | MIT | MIT |
| Last pushed | Jun 24, 2026 | Jul 3, 2026 |
| Categories | Model Training, LLM Frameworks | LLM Frameworks, Developer Tools |
train-llm-from-scratch
Repository offering scripts to train LLMs using PyTorch, detailing the process from raw text to aligned model with every part implemented manually from basic neural networks through transformer architecture, up to supervised fine-tuning methods.
Python
caveman
A skill/plugin for various AI agents, including Claude Code and other platforms, reducing output tokens for more concise, direct communication while maintaining accuracy.
JavaScript