The top 4 hugging face models & datasets measured by RiseFinder over the 1d window ending 14 October 2026.
vllm-sr/d3 is a 27B multimodal foundation decision model, part of Decision 3.0, the decision models of vLLM Semantic Router. It takes an input in text or JSON form, optionally with images and videos, together with questions to answer. It can pick one of several options, say yes or no, or rate on a scale, and answers all of the questions it is given.
Hugging Face model
Open source ↗EgoStandard is a video dataset from LightwheelAI. It is described as the 90,000-hour head-view line of EgoSuite-Open100K. The dataset pairs head-view egocentric video with synchronized 3D hand pose, and its body subset adds full-body pose. It is distributed through the LightwheelAI/EgoStandard Bucket, with a Git repository serving as the dataset card and access point for downloads.
Hugging Face dataset
Open source ↗jialinyyzz/humanizer is a 12B language model that rewrites AI-written drafts such as emails, essays, reports, and forum posts in English and Chinese so they read like a person wrote them. It is trained to keep every number, unit, date, name, and quote from the original text and to add nothing. The model runs locally, and no AI detector was used anywhere in its training.
Hugging Face model
Open source ↗This is a repository of GGUF-format quantized weights for the Qwen3.8-Flash-Next model. It contains four GSQ-RCO quantizations (Q2 0, IQ2 XS, IQ3 XXS, and IQ3 S) that were made by the Deep Algorithms and Systems Lab at ISTA and copied byte for byte from the ISTA-DASLab/Qwen3.8-Flash-Next-GSQ-RCO-GGUF repository. The repo states the weights are not the uploader's own.
Hugging Face model
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