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.
THU-KEG/LongWriter-Zero-RLData
Open entry pageModelDatasetPaperRepository
Connections
- bartowski/THU-KEG_LongWriter-Zero-32B-GGUF Modelused to train
- mradermacher/LongWriter-Zero-32B-GGUF Modelused to train
- Mungert/LongWriter-Zero-32B-GGUF Modelused to train
- mradermacher/LongWriter-Zero-32B-i1-GGUF Modelused to train
- Qwen/Qwen2.5-32B Modeltwo steps away
- THU-KEG/WildFB Datasetsame organization
- THU-KEG/RM-Bench Datasetsame organization
- EvaluationPapers4ChatGPT Repositorysame organization
- Knowledge_Graph_Reasoning_Papers Repositorysame organization
- OmniEvent Repositorysame organization
- THU-KEG/AgentIF Datasetsame organization
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