mlc-llm vs LLMs-from-scratch
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| mlc-llm | LLMs-from-scratch | |
|---|---|---|
| Tagline | Universal LLM Deployment Engine with ML Compilation | Implement a ChatGPT-like LLM in PyTorch from scratch |
| Stars | 23k | 99k |
| Forks | 2.1k | 15k |
| Open issues | 317 | 4 |
| Language | Python | Jupyter Notebook |
| License | Apache-2.0 | Other |
| Last pushed | Jul 7, 2026 | Jun 2, 2026 |
| Categories | LLM Frameworks | Model Training, LLM Frameworks |
mlc-llm
MLC-LLM is a machine learning compiler and high-performance deployment engine for large language models. Its goal is to enable native development, optimization, and deployment of AI models on various hardware platforms through a unified inference engine called MLCEngine.
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