The top 5 hugging face models & datasets measured by RiseFinder over the 1d window ending 5 October 2026.
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 ↗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 ↗IQuest-Q1 is a Mixture-of-Experts (MoE) language model developed by IQuest for agentic coding, reasoning, and multi-step tool use. It has approximately 320B total parameters with about 15B activated per token, exposes an OpenAI-compatible API, and can be deployed in production with SGLang or vLLM. The model accepts text-only input and its documentation notes that generated code and explanations can be incorrect and may require human oversight.
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
Open source ↗Julia 1 is a machine learning model from SupersonicLabs and the first model in its Julia family. It is a small model of 144.3M parameters that takes a state, a question, and possible answers as input and produces a single decision. The same interface supports classification, routing, ordered scores, and Boolean decisions.
Hugging Face model
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