[COLM 2025] Code for Paper: Learning Adaptive Parallel Reasoning with Language Models
[ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.
[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.
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.
The official repo for "LLoCo: Learning Long Contexts Offline"
SGLang is a fast serving framework for large language models and vision language models.
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