optimate vs LLMs-from-scratch
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| optimate | LLMs-from-scratch | |
|---|---|---|
| Tagline | A legacy collection of libraries for optimizing AI model performance | Implement a ChatGPT-like LLM in PyTorch from scratch |
| Stars | 8.3k | 99k |
| Forks | 619 | 15k |
| Open issues | 110 | 4 |
| Language | Python | Jupyter Notebook |
| License | Apache-2.0 | Other |
| Last pushed | Jul 22, 2024 | Jun 2, 2026 |
| Categories | Model Training, Inference & Serving, LLM Frameworks | Model Training, LLM Frameworks |
optimate
OptiMate is a set of Python-based tools designed to optimize the performance, cost efficiency, and hardware utilization of AI models, particularly in LLM contexts. Currently not maintained.
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