The top 5 hugging face models & datasets measured by RiseFinder over the 1d window ending 27 October 2026.
This is a machine learning dataset for intent recognition. It is the companion dataset for Xing4.0-29B-Intent, a model for schema-guided intent recognition and structured information extraction. The dataset was curated and released by the Xingchen General Artificial Intelligence Laboratory of China Telecom Artificial Intelligence Technology Co., Ltd.
Hugging Face dataset
Open source ↗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 ↗Flint is a mixture-of-experts language model made by Recursive for use with coding agents. It has 39.8 billion total parameters with approximately 2.5 billion active per token. It is designed for software engineering work such as investigating codebases, fixing bugs, implementing features, and writing tests.
Hugging Face model
Open source ↗OvisOCR3 is a unified 0.8B multimodal model designed for OCR and document understanding. This compact model integrates several functions into a single unit. It performs document parsing, general OCR, key information extraction, document figure captioning, and cross-page table reconstruction. These capabilities are selected through task-specific methods.
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
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