NVlabs/VILA
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.
[MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
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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.
Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
llama.cpp fork with additional SOTA quants and improved performance
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.