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Qwen-Image is a text-to-image foundation model with advanced multilingual text rendering.Downloadableqwen-image
Qwen-Image-Edit is an image editing model with multilingual text editing and strong subject consistency.Downloadableqwen-image-edit
An image edit model specialized for Omniverse synthetic to photographic solder-light style captured at NVIDIA PCB inspection stationsDownloadableqwen-image-edit-nvpcb-ovsl2sl
Run cuTile kernel benchmarks, FMHA implementation, and LLM inference on DGX Spark and B30060 MINcuTile Kernels
Choose the right MoE token dispatcher (`alltoall`, DeepEP, or HybridEP) for the hardware, EP degree, and optimization stage. Summarizes patterns from DSV3, Qwen3, Qwen3-Next, and VLM bring-up work. Long-context MoE training guidance for Megatron Bridge. Covers CP sizing, selective recompute, dispatcher choices, and practical patterns from DSV3, Qwen3, and Qwen3-Next long-context experiments. Practical guidance for training MoE VLMs in Megatron Bridge. Compares FSDP and 3D-parallel approaches, using rounded lessons from Qwen3-VL, Qwen3-Next, and other multimodal experiments.Fine-tune Vision-Language Models for image and video understanding tasks using Qwen2.5-VL and InternVL3
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