VILA is a family of state-of-the-art vision language models (VLMs) for diverse multimodal AI tasks across the edge, data center, and cloud.
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Latest capture 2026-09-10 03:06
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Solve Visual Understanding with Reinforced VLMs
An Open-source Toolkit for LLM Development
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
[MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks
