The top 5 hugging face models & datasets measured by RiseFinder over the 1d window ending 10 October 2026.
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 ↗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
Open source ↗This is a machine learning model repository on Hugging Face containing an EXL3 quantization of dealignai/GLM-5.3-UNCENSORED-FP8. That base model is a weight-edited variant, not a fine-tune, of zai-org/GLM-5.3, with the edit documented in a file named CRACK SURGERY.json. The repository states it is not affiliated with dealignai or Z.ai.
Hugging Face model
Open source ↗Cirquar Tech/wm_imagined is a Hugging Face dataset of imagined robot interaction segments generated by a world model. Its current release contains only the RoboTwin2.0 subdataset, covering 50 robot tasks. Each HDF5 chunk pairs 21 observation frames from three camera views with 20 action steps, rewards, and termination flags. The publisher documents additional subdatasets as planned, not already included in this release.
Hugging Face dataset
Open source ↗venvoo/china-a-share-l2-level2-limit-order-book-tick-data is a Hugging Face dataset containing a historical archive of Chinese exchange Level-2 market data from 2017 to 2026, supplied through a vendor export and stored in Parquet format. It includes ten-level quote snapshots, individual order messages, and trade-stream records, covering A-share stocks as well as non-stock instruments such as ETFs and bonds.
Hugging Face dataset
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