petals vs LLMs-from-scratch
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| petals | LLMs-from-scratch | |
|---|---|---|
| Tagline | Run LLMs at home, BitTorrent-style | Implement a ChatGPT-like LLM in PyTorch from scratch |
| Stars | 10k | 99k |
| Forks | 621 | 15k |
| Open issues | 112 | 4 |
| Language | Python | Jupyter Notebook |
| License | MIT | Other |
| Last pushed | Sep 7, 2024 | Jun 2, 2026 |
| Categories | LLM Frameworks, Inference & Serving | Model Training, LLM Frameworks |
petals
Petals enables running and fine-tuning large language models locally with distributed computing techniques, offering up to 10x faster performance compared to offloading tasks.
Python
LLMs-from-scratch
Repository containing code and instructions for developing, pretraining, and finetuning a GPT-like large language model (LLM) using PyTorch.
Jupyter Notebook