The top 5 hugging face models & datasets measured by RiseFinder over the 1d window ending 23 October 2026.
FastVideo/FastH3-Omni-Comfy is a set of ComfyUI-ready BF16 and INT8 ConvRot diffusion models from the final FastH3 Omni release. The models generate video together with synchronized audio from a prompt plus an ordered set of image, video, and audio references. They are packaged for use within the ComfyUI workflow tool.
Hugging Face model
Open source ↗This is a protein design dataset. It contains de novo designed proteins intended to bind five scorpion toxins: Cn2, Ts1, AaH II, AaH I, and LqhIII. Binding was measured by surface plasmon resonance by two contract research organizations, Adaptyv Bio and Twist Bioscience, and the dataset reports which designs are binders, including seventeen designs that bind across the targets.
Hugging Face dataset
Open source ↗vllm-sr/d3-turbo is an upgraded 27B multimodal decision model. It accepts input in text or JSON format, and optionally includes images and videos. The model processes this input to answer specific questions or requests. It can instruct the user to pick one of several options, say yes or no, rate on a scale, or point to where.
Hugging Face model
Open source ↗VDEBench is a bilingual benchmark dataset for visual document editing, containing 3,506 examples split into 1,578 text edits and 1,928 table edits. Each example provides the input document image, an editing instruction, a target image, editing-region annotations, and recorded source provenance. Available masks indicate which regions of a document are allowed for editing.
Hugging Face dataset
Open source ↗Vyber07/cyber-security is a cybersecurity knowledge base dataset intended for AI training. It covers cybersecurity domains including offensive red teaming, bug bounty exploitation, defensive SOC operations, digital forensics, and AI/LLM security. The dataset is 16 GB in size, contains 507 files, and spans more than 30 domains drawn from more than 15 platforms.
Hugging Face dataset
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