train-llm-from-scratch vs open-webui
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| train-llm-from-scratch | open-webui | |
|---|---|---|
| Tagline | A method for training a Large Language Model (LLM) from scratch using Python. | User-friendly AI Interface (Supports Ollama, OpenAI API, ...) |
| Stars | 8.1k | 145k |
| Forks | 1.1k | 21k |
| Open issues | 2 | 339 |
| Language | Python | Python |
| License | MIT | Other |
| Last pushed | Jun 24, 2026 | Jul 2, 2026 |
| Categories | Model Training, LLM Frameworks | Inference & Serving, LLM Frameworks |
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
open-webui
Open WebUI is an extensible and feature-rich self-hosted AI platform that supports various LLM runners like Ollama and OpenAI-compatible APIs. It includes a built-in inference engine for RAG operations.
Python