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AI 모델 85003

• OpenMed-NER-ChemicalDetect-BioMed-109M↗

  OpenMed

  **Specialized model for Chemical Entity Recognition - Identifies chemical compounds and substances in biomedical literature** This model is a **state-of-the-art** fine-tuned transformer engineered to deliver **enterprise-grade accuracy** for chemical entity recognition - identifies chemical compounds and substances in biomedical literature. This specialized model excels at identifying and extracting biomedical entities from clinical texts, research papers, and healthcare documents, enabling applications such as **drug interaction detection**, **medication extraction from patient records**, **adverse event monitoring**, **literature mining for drug discovery**, and **biomedical knowledge graph construction** with **production-ready reliability** for clinical and research applications. - **High Precision**: Optimized for biomedical entity recognition - **Domain-Specific**: Trained on curated BC4CHEMD dataset - **Production-Ready**: Validated on clinical benchmarks - **Easy Integration**: Compatible with Hugging Face Transformers ecosystem

• OpenMed-PII-Italian-BioClinicalModern-Base-149M-v1↗

  OpenMed

  **OpenMed-PII-Italian-BioClinicalModern-Base-149M-v1** is a transformer-based token classification model fine-tuned for **Personally Identifiable Information (PII) detection in Italian text**. This model identifies and classifies **54 types of sensitive information** including names, addresses, social security numbers, medical record numbers, and more.

• Qwen3-VL-8B-Instruct-abliterated-v2↗

  prithivMLmods

• ppt-pythia-1b-appendix-structured-seed3408-stage2↗

  qing-yao

• ChronoEdit-14B-GGUF↗

  QuantStack

• Dualmind-Qwen-1.7B-Thinking↗

  reaperdoesntknow

• Inkling-Small↗

  RedHatAI

• MrRobotoAI_-_llama3-8B-Special-Dark-v3.1.2c-gguf↗

  RichardErkhov

• OpenBuddy_-_openbuddy-yi1.5-34b-v21.3-32k-gguf↗

  RichardErkhov

• ringg-router-e2b↗

  RinggAI