The top 4 hugging face models & datasets measured by RiseFinder over the 1d window ending 24 September 2026.
WorldSimReady-Home is a dataset of CAD-based SimReady assets for household scenes. The optimized CAD assets come with configured collision and physical properties, and physics configuration is reviewed for every household scene. It supports scalable task generation with batch simulation data across robot embodiments and tasks.
Hugging Face dataset
Open source ↗Xing4.0 29B A4B is a large language model in the Xing series, formerly TeleChat, developed by China Telecom Artificial Intelligence Technology Co., Ltd. It has 29 billion total parameters with 4 billion activated per token and natively supports a 256K context length, extensible to 512K. Built on an mHC, MLA, and MTP architecture, it supports multiple step planning, tool calling, and complex reasoning, and can be served through an OpenAI compatible API or deployed with vLLM, SGLang, and KTransformers.
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 ↗ZGCM-1-Data is a dataset associated with ZGCM-1, a 7.39B-parameter dense language model developed by Zhongguancun Academy and the Zhongguancun Institute of Artificial Intelligence. The model is described as a foundation model for math and agentic search, and the dataset is one of several released resources alongside a tech report, model, results, and training code.
Hugging Face dataset
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