Type a name, or just describe what you need. Results blend keyword and meaning-based search. 11 matches, each with an EU availability status.
Research · Google
The 2017 Google paper that introduced the Transformer, a neural architecture based solely on attention mechanisms.
Research · MiniMax
MiniMax's open-source sparse top-k and dense attention GPU kernels for NVIDIA SM100 (Blackwell), with a technical report.
Library
Windows-wheel fork of SageAttention, a quantized attention kernel library that speeds up diffusion and video model inference.
Model
Hybrid softmax and linear attention variant of MiniMax H3 for faster long video generation, from UC Berkeley and Impossible, Inc.
Model · Alibaba
Alibaba's Qwen3.8 Flash Next: a 125B-parameter MoE language model with about 6B active parameters, previewing Qwen 4 design.
Model · Nvidia
NVIDIA's 5B and 14B hybrid linear-attention video diffusion transformers generating up to 720p on a single GPU.
Library · kijai
Open-source ComfyUI custom node pack with utility, model optimization and quality-of-life nodes, including Set/Get.
Model · Hao AI Lab
Open-weight 4-step sparse-distilled version of MiniMax H3 for fast text-to-video-and-audio generation on Blackwell GPUs.
Training-free method that rescales attention across RoPE components to generate ultra-high-resolution images with diffusion transformers.
Model · MiniMax
Open-weights native multimodal MoE model from MiniMax, ~428B parameters (~23B active) with 1M-token context.
Model · Baidu
Baidu's open-weights 280B-parameter sparse MoE base model (14B active) with 1M-token context, released pre-post-training.
