The top 4 hugging face models & datasets measured by RiseFinder over the 1d window ending 29 September 2026.
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
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 ↗oi-uae/cyber-security is a cybersecurity instruction-tuning dataset for finetuning large language models. It is a multi-domain chat dataset built from 198 distinct sources covering areas such as offensive security, blue-team operations, vulnerability intelligence, cloud/AWS security, malware analysis, and digital forensics. Every record is normalized to the standard messages chat format and deduplicated at both file and record level. The dataset is marked research use only.
Hugging Face dataset
Open source ↗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
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