MGM vs LLMs-from-scratch
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| MGM | LLMs-from-scratch | |
|---|---|---|
| Tagline | Official repo for 'Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models' | Implement a ChatGPT-like LLM in PyTorch from scratch |
| Stars | 3.3k | 99k |
| Forks | 275 | 15k |
| Open issues | 61 | 4 |
| Language | Python | Jupyter Notebook |
| License | Apache-2.0 | Other |
| Last pushed | May 4, 2024 | Jun 2, 2026 |
| Categories | LLM Frameworks, Model Training | Model Training, LLM Frameworks |
MGM
A Python-based framework supporting dense and MoE Large Language Models (LLMs) from 2B to 34B, focusing on image understanding, reasoning, and generation. Built based on LLaVA.
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