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/chinese_text_correction
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Connections
- shibing624/chinese-text-correction-1.5b Modelused to train
- QuantFactory/chinese-text-correction-1.5b-GGUF Modelused to train
- shibing624/chinese-text-correction-1.5b-lora Modelused to train
- mradermacher/chinese-text-correction-1.5b-GGUF Modelused to train
- tensorblock/chinese-text-correction-1.5b-GGUF Modelused to train
- QuantFactory/chinese-text-correction-7b-GGUF Modelused to train
- mradermacher/chinese-text-correction-7b-GGUF Modelused to train
- MaziyarPanahi/chinese-text-correction-1.5b-GGUF Modeltwo steps away
- Qwen/Qwen2.5-1.5B-Instruct Modeltwo steps away
- Qwen/Qwen2.5-7B-Instruct Modeltwo steps away
- featherless-ai-quants/shibing624-chinese-text-correction-1.5b-GGUF Modeltwo 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