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.
shibing624/sharegpt_gpt4
Open entry pageModelDatasetPaperRepository
Connections
- mradermacher/AMD-OLMo-1B-IT-GGUF Modelused to train
- mradermacher/Qwen2.5-14B-Wernicke-SFT-GGUF Modelused to train
- mradermacher/AMD-OLMo-1B-IT-i1-GGUF Modelused to train
- theblackcat102/sharegpt-english Datasettwo steps away
- ajibawa-2023/Python-Code-23k-ShareGPT Datasettwo steps away
- shibing624/text2vec-base-chinese Modelsame organization
- shibing624/macbert4csc-base-chinese Modelsame organization
- shibing624/text2vec-base-multilingual Modelsame organization
- shibing624/text2vec-base-chinese-paraphrase Modelsame organization
- MedicalGPT Repositorysame organization
- text2vec Repositorysame 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