Video-LLaMA vs open-webui
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| Video-LLaMA | open-webui | |
|---|---|---|
| Tagline | Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding | User-friendly AI Interface (Supports Ollama, OpenAI API, ...) |
| Stars | 3.1k | 145k |
| Forks | 286 | 21k |
| Open issues | 69 | 338 |
| Language | Python | Python |
| License | BSD-3-Clause | Other |
| Last pushed | Jun 4, 2024 | Jul 2, 2026 |
| Categories | AI Agents, Model Training, Inference & Serving | LLM Frameworks, Inference & Serving |
Video-LLaMA
This repository hosts the Video-LLaMA project, focused on enhancing large language models with understanding of video and audio content. It provides functionalities for cross-modal pre-training and instruction tuning, aiming to improve multimodal understanding capabilities.
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