Video-LLaMA vs ollama
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| Video-LLaMA | ollama | |
|---|---|---|
| Tagline | Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. |
| Stars | 3.1k | 176k |
| Forks | 286 | 17k |
| Open issues | 69 | 3.4k |
| Language | Python | Go |
| License | BSD-3-Clause | MIT |
| Last pushed | Jun 4, 2024 | Jul 7, 2026 |
| Categories | Inference & Serving, AI Agents, Model Training | AI Agents, LLM Frameworks |
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
ollama
Ollama is a platform for deploying and interacting with various large language models (LLMs) such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, and Gemma on macOS, Windows, Linux, and Docker environments.
Go