L
LLaVA
haotian-liu/LLaVA
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
★25.0kstars
Python
Apache-2.0
Updated: Today
📋 Project at a Glance
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What's this?A chatbot/chatgpt tool in the Models category, built with Python, open-source
Who made it?Maintained by haotian-liu team, 25K⭐ on GitHub, #55 out of 3201 in Models
Why does it exist?In the Models space, chatbot workflows faced efficiency bottlenecks. LLaVA was built by haotian-liu to address these chatgpt challenges.
What can it do?Key use cases: foundation-models, gpt-4, instruction-tuning
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/haotian-liu/LLaVA | 官网 https://llava.hliu.cc
🔗 github.com/haotian-liu/LLaVA | 官网 https://llava.hliu.cc
Topics
chatbotchatgptfoundation-modelsgpt-4instruction-tuningllamallama-2llama2llavamulti-modalitymultimodalvision-language-modelvisual-language-learning