The top 8 hugging face models & datasets measured by RiseFinder over the 7d window ending Week 41 · 5 October 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 ↗fastino/fast-decisions is a classification dataset suite associated with GLiNER2.5-Decide. It covers seventeen domains, with one file per domain. Each row contains a document plus the decisions a product has to make, including the task name, the candidate labels, and the gold label. The suite includes both single-label heads, which have one gold string, and multi-label heads.
Hugging Face dataset
Open source ↗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 ↗MiMo-V2.6-Flash-RL is a model checkpoint from the MiMo-V2.6 series, described as the efficiency-balanced variant of that series. The series is built to scale reinforcement learning toward self-improvement by increasing RL compute, environment diversity, and grader compute together, so the model keeps expanding its capability frontier through exploration.
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 ↗Open-Jev is a dataset that pairs a state and a question with a typed decision output. Depending on the task, that decision can take the form of a yes/no probability, a distribution over choices, independent label probabilities, or a discrete numeric or ordinal decision. The repository publishes twelve separate, frozen data configs from the Open-Jev project.
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 ↗VoiceIsolation-Benchmark-Dataset is a benchmark dataset of 265 real-world recordings for measuring how a second voice breaks speech-to-text transcription and how much Krisp Voice Isolation corrects it. It covers three scenarios with 47 speakers, recorded in real rooms with real headsets, and uses no synthetic mixing.
Hugging Face dataset
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