Hugging Face models & datasets

The top 5 hugging face models & datasets measured by RiseFinder over the 1d window ending 6 October 2026.

Period
Daily
Window
1d
Rows
5
Data through
6 October 2026
← All current risersAll hugging face models & datasets editionsNewer: 7 October 2026Older: 5 October 2026
01/

Daily box

5 entries
01

originlab/game-recordings-v4

Origin Lab Game Recordings v0.4.0 is a dataset of human gameplay recorded inside the engines of 20 licensed games at 1080p and 60 FPS. Each recording includes RGB frames with and without the HUD, depth, surface normals, camera pose, keyboard and mouse input, in-engine events and game state, and audio. This release doubles the roster to 20 games and adds the first Unity title, with 169 sessions totaling 163.0 hours and a size of about 5.3 TB.

Hugging Face dataset

Open source ↗
+134.3%
898 → 2,104 downloads
02

Infatoshi/GLM-5.3-UNCENSORED-EXL3-3.0bpw

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 ↗
+41.9%
946 → 1,342 downloads
03

vllm-sr/Decision-2.0-Vega-27B

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 ↗
+37.5%
283 → 389 downloads
04

biglam/europeana_newspapers_images

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 ↗
+12.7%
710 → 800 downloads
05

fastino/GLiNER2.5-Decide

GLiNER2.5-Decide is a 340M-parameter English text classification model in the GLiNER2.5 family. Instead of using a fixed prompt template, it accepts any label set at call time, covering uses such as intent, routing, sentiment, priority, policy, and multi-label tagging, all in a single forward pass without generating tokens. It can be loaded with AutoExtractor and run locally.

Hugging Face model

Open source ↗
+11.8%
53,625 → 59,943 downloads
This dated edition is generated from the reviewed RiseFinder export. Movement figures retain their original source, period and direction.
02/

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