The top 5 hugging face models & datasets measured by RiseFinder over the 1d window ending 8 October 2026.
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 ↗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 ↗Qwen3.8-27B-pi is a model that builds on Qwen3.8-27B for coding work in the Pi agent harness. It is tailored to the loop of reading a repository, editing files, running tools, and responding to their feedback, with the stated aim of more completed work with less generated text while retaining the base model's familiar interface.
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 ↗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
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