The top 5 hugging face models & datasets measured by RiseFinder over the 1d window ending 9 October 2026.
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 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 ↗biglam/europeana_newspapers_images is a dataset of 98,877 newspaper page images from the 1700s to the 1940s in 10 languages, plus pages marked multi-language or unidentified. Each page is paired with the OCR produced when it was digitised, including full text, ALTO XML, and line and word boxes converted to image pixels with the OCR engine's per-word confidence values.
Hugging Face dataset
Open source ↗Decision-2.0-Vega-27B is a 27B-parameter decision model that is part of Decision 2.0, the decision models of vLLM Semantic Router. It takes an input in text or JSON form along with questions to answer, such as picking one of several options, saying yes or no, or rating on a scale. It answers all of the questions at once and returns a probability for every answer.
Hugging Face model
Open source ↗Taiga-S1 is a small, fast decision model designed for computer-use agents, where a planner decides what to do and a tiny model handles step-by-step execution. It is an experiment testing whether such models can be useful in this role, with FreeCAD serving as the testbed. The stated next step is applying the same approach to applications without a scripting API.
Hugging Face model
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