Knowledge Graph
Silytics Knowledge Graph
See how models, datasets, papers and organizations connect. Every link comes from public metadata: papers named on a model card, datasets and base models named in its tags, and the organization that published it. Click any dot to re-center; the smaller outer ring is two steps away.
nanovdr/NanoVDR-Train
Open entry pageModelDatasetPaperRepository
Connections
- nanovdr/ColNanoVDR-Q-Ettin150M-ColQwen35-320-ML Modelused to train
- ColNanoVDR: Document-Free Query Distillation for Multi-Vector Visual Document Retrieval via Optimal Transport Papercites
- NanoVDR: Distilling a 2B Vision-Language Retriever into a 70M Text-Only Encoder for Visual Document Retrieval Papercites
- nanovdr/ColNanoVDR-Q-Ettin150M-ColVec4B-640-ML Modelused to train
- nanovdr/NanoVDR-Q-DistilBERT-Qwen3VL2B-2048-ML Modeltwo steps away
- jhu-clsp/ettin-encoder-150m Modeltwo steps away
Relationships are extracted automatically from public metadata and may be incomplete or wrong. Absence of a link does not mean absence of a relationship. Intelligence · Compare models