The top 10 hugging face models & datasets measured by RiseFinder over the 7d window ending Week 43 · 19 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 ↗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 ↗Cactus-Compute/whistle is a speech-to-text model designed for mobiles, wearables, robots, smart home devices, automotive systems, and microcontrollers. The whole model is a single 16.9 MB file. It runs on the same CPU engine as Needle, from the same container and the same quantisation, with no dependencies and no GPU.
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
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
Open source ↗This is a conversational speech dataset. Basis Conversations 1500 contains multi-party, multilingual, full duplex conversations with up to four simultaneous speakers per conversation, each recorded on channel-separated 48 kHz audio. Conversations seat between two and four people, the median conversation lasts 33 minutes, and 2,645 unique speakers are represented.
Hugging Face dataset
Open source ↗Open-Jev is a dataset that pairs a state and a question with a typed decision output. Depending on the task, that decision can take the form of a yes/no probability, a distribution over choices, independent label probabilities, or a discrete numeric or ordinal decision. The repository publishes twelve separate, frozen data configs from the Open-Jev project.
Hugging Face dataset
Open source ↗perplexity-ai/pplx-embed-v2-late-0.6b belongs to pplx-embed-v2-late, a family of multimodal late-interaction (ColBERT) retrievers for text, images, and visual documents. The models are built on Qwen3.5 with bidirectional attention, produce one 128-dimensional vector per token, and score similarity between a query and a document using MaxSim.
Hugging Face model
Open source ↗convaiinnovations/laya is a multilingual, non-autoregressive System 1 decision model. It takes a state such as text, an email, a ticket, or JSON, together with typed questions, and returns typed answers with mathematically calibrated probabilities in a single forward pass of about 33 ms. It works across more than 100 languages and was trained with reinforcement learning.
Hugging Face model
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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