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.
Next Concept Prediction in Discrete Latent Space Leads to Stronger Language Models
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Connections
- yava-code/Tessera-135M-Gate Modelcited by
- yava-code/Tessera-1B-Nano Modelcited by
- yava-code/Tessera-1B-Nano-Base Modelcited by
- mradermacher/Tessera-1B-Nano-Base-GGUF Modeltwo steps away
- HuggingFaceTB/SmolLM2-360M Modeltwo steps away
- NCP-ArchPreview Technical Report: Moving towards Latent Space Language Models through Next Concept Prediction Papertwo steps away
- HuggingFaceTB/SmolLM2-135M 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