Honey-Data-V2 [🏠 Homepage] [📖 arXiv (conference version)] [🤗 Bee models & datasets] [🍯 Honey-Data-15M] [💻 Code] Honey-Data-V2 is the corpus of the journal version of Bee, Bee: A High-Quality Corpus and Full-Stack Suite for End-to-End Training of Fully Open MLLMs, accepted to Computational Visual Media. The conference version (ICLR 2026) released Honey-Data-15M and the Bee-8B models trained on it. The journal version scales the corpus up by reapplying the same curation… See the full description on the dataset page: https://huggingface.co/datasets/HoneyDataV2/Honey-Data-V2.
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quantumshield pull HoneyDataV2/Honey-Data-V2 Verify integrity
quantumshield verify HoneyDataV2/Honey-Data-V2 pip install
pip install quantumshield && quantumshield pull HoneyDataV2/Honey-Data-V2 Unverified Model
This model has not been PQC-verified. File integrity cannot be guaranteed against quantum threats.
README.md
Honey-Data-V2
Honey-Data-V2 [🏠 Homepage] [📖 arXiv (conference version)] [🤗 Bee models & datasets] [🍯 Honey-Data-15M] [💻 Code] Honey-Data-V2 is the corpus of the journal version of Bee, Bee: A High-Quality Corpus and Full-Stack Suite for End-to-End Training of Fully Open MLLMs, accepted to Computational Visual Media. The conference version (ICLR 2026) released Honey-Data-15M and the Bee-8B models trained on it. The journal version scales the corpus up by reapplying the same curation… See the full description on the dataset page: https://huggingface.co/datasets/HoneyDataV2/Honey-Data-V2.
Intended Uses
This model is registered on the QuantaMrkt quantum-safe registry. This model has not yet been PQC-verified.
Quick Start
# Install the CLI pip install quantumshield # Pull the model quantumshield pull HoneyDataV2/Honey-Data-V2 # Verify file integrity quantumshield verify HoneyDataV2/Honey-Data-V2
About
Honey-Data-V2 [🏠 Homepage] [📖 arXiv (conference version)] [🤗 Bee models & datasets] [🍯 Honey-Data-15M] [💻 Code] Honey-Data-V2 is the corpus of the journal version of Bee, Bee: A High-Quality Corpus and Full-Stack Suite for End-to-End Training of Fully Open MLLMs, accepted to Computational Visual Media. The conference version (ICLR 2026) released Honey-Data-15M and the Bee-8B models trained on it. The journal version scales the corpus up by reapplying the same curation… See the full description on the dataset page: https://huggingface.co/datasets/HoneyDataV2/Honey-Data-V2.
Get this model
Pull with QuantumShield
quantumshield pull HoneyDataV2/Honey-Data-V2 Verify signatures
quantumshield verify HoneyDataV2/Honey-Data-V2