The top 5 hugging face models & datasets measured by RiseFinder over the 1d window ending 20 October 2026.
MiniCPM-V 4.7 is a vision-language model from the MiniCPM-V series, released in a 1B variant. It handles single-image, multi-image, and video understanding, and combines foundation capabilities with efficient visual encoding and on-device inference, meaning it can run on local devices rather than only in the cloud.
Hugging Face model
Open source ↗FDE-Gym is a benchmark dataset for evaluating AI agents on forward-deployed engineering work. It tests whether an agent can enter a customer's running environment, identify what matters there, make job decisions, and ship a system that holds up in production. The dataset contains the original tasks for 20 scenarios, each with an engagement.json file holding the scenario title and related details.
Hugging Face dataset
Open source ↗This is a machine learning dataset containing a selected code corpus of approximately 240 billion tokens covering 11 programming languages from The Stack v3. The data was produced through quality-control cleaning and fine-grained selection using the UltraData-Code-L2-Classifier, applying a language-adaptive L2 selection framework.
Hugging Face dataset
Open source ↗jialinyyzz/humanizer-data is a dataset hosted on Hugging Face. It is the training data for humanizer v2, a 12B model that rewrites AI-written drafts in English and Chinese so they read like a person wrote them while keeping every fact. The related code and app are on GitHub, along with step-by-step documentation of how the data was built.
Hugging Face dataset
Open source ↗This is a modified version of the LFM2.5-24B-A2B model in which Liquid's refusal behaviour has been projected out of the original weights, applied in the second two thirds of the network only. It is shipped in two forms: six baked GGUF builds, and a 24 MB LoRA adapter that can be applied to LFM2.5-24B-A2B quants a user already has. The model card states that the measurements behind it are public.
Hugging Face model
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