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Hugging Face models & datasets

The top 9 hugging face models & datasets measured by RiseFinder over the 7d window ending Week 40 · 28 September 2026.

Period: Weekly
Window: 7d
Rows: 9
Data through: Week 40 · 28 September 2026

← All current risers All hugging face models & datasets editions Newer: Week 41 · 5 October 2026 Older: Week 39 · 21 September 2026

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Weekly box

9 entries

XingChen-AGI/Xing4.0-29B-A4B

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 ↗

+256.9%

12,617 → 45,028 downloads

byteshape/Qwen3.8-27B-GGUF

byteshape/Qwen3.8 27B GGUF is a GGUF quantized version of the Qwen3.8 27B language model, produced with ByteShape's ShapeLearn method, which selects a datatype per tensor to preserve quality at low bit lengths. The release includes multiple size variants for different video memory budgets, is vision capable, and runs with llama.cpp, which downloads the model and vision projector. It supports MTP based speculative decoding through an MTP head bundled in the GGUF, or an external DFlash 2 draft model.

Hugging Face model

Open source ↗

+232.8%

31,426 → 104,587 downloads

empero-ai/Qwen3.8-35B-A3B-Distill-GGUF

empero-ai/Qwen3.8-35B-A3B-Distill-GGUF provides GGUF quantizations of empero-ai/Qwen3.8-35B-A3B-Distill, a distillation of the Qwen3.8 frontier models into the Qwen3.6-35B-A3B Mixture-of-Experts architecture. The quantized files are intended for llama.cpp, Ollama, LM Studio, Jan, KoboldCpp and other stock GGUF runtimes.

Hugging Face model

Open source ↗

+219.6%

52,476 → 167,739 downloads

venvoo/china-a-share-l2-level2-limit-order-book-tick-data

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 ↗

+184.3%

11,878 → 33,769 downloads

Yootta/World-SimReady-Home

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 ↗

+140.2%

11,454 → 27,516 downloads

zgcagi/ZGCM-1-Data

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

Open source ↗

+126.3%

16,585 → 37,528 downloads

openbmb/MiniCPM5-2B

MiniCPM5-2B is a dense 2B Transformer model from OpenBMB, the second model in the MiniCPM5 series. It is built for on-device, local deployment and resource-constrained scenarios. The release includes multiple formats such as BF16 checkpoints, GGUF for llama.cpp, Ollama and LM Studio, MLX for Apple Silicon, and GPTQ 4-bit quantized versions, and the training datasets are released alongside the model as part of the UltraData family.

Hugging Face model

Open source ↗

+82.4%

420,622 → 767,352 downloads

openbmb/UltraData-SFT-Agent-2609

UltraData-SFT-Agent-2609 is a machine learning dataset of executable Agent trajectories used for instruction-tuning. It is the L3 refined data for Agent instruction-tuning within UltraData's L0-L4 tiered data management framework, built for the post-training of MiniCPM5-2B, and complements UltraData-SFT-2605, which covers core-domain SFT.

Hugging Face dataset

Open source ↗

+42.6%

18,261 → 26,045 downloads

openbmb/MiniCPM5-2B-GGUF

MiniCPM5-2B-GGUF is the GGUF format release of MiniCPM5-2B, a dense 2B parameter Transformer language model from the MiniCPM5 series. The GGUF format is intended for use with llama.cpp, Ollama, and LM Studio. The underlying model is built for on-device, local deployment and resource-constrained scenarios.

Hugging Face model

Open source ↗

+17.4%

180,593 → 212,034 downloads

This dated edition is generated from the reviewed RiseFinder export. Movement figures retain their original source, period and direction.

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Hugging Face models & datasets

Weekly box

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