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AI 모델 84755

• SynthAgent-SFT-Qwen2.5-VL-7B-GGUF↗

  mradermacher

• Tenebra_30B_Alpha01_FP16-GGUF↗

  mradermacher

• Voxtral-Small-24B-2507-i1-GGUF↗

  mradermacher

• ltx-2.3-ltx2-better-nsfw-motion↗

  Muapi

• Qwen3-Reranker-4B-GGUF↗

  Mungert

• HPSv3-GGUF↗

  n0kovo

• NemoGuard-JailbreakDetect↗

  NVIDIA

• gpt-4o-search-preview↗

  OpenAI

• OpenMed-ZeroShot-NER-Genome-Base-220M↗

  OpenMed

  **Specialized model for Gene/Protein Entity Recognition - Gene and protein mentions** Accurate **gene/protein mention recognition**, including synonyms and symbol variants from biomedical literature.Enables **gene-centric curation**, **variant/association mining**, and **network construction**. OpenMed ZeroShot NER is an advanced, domain-adapted Named Entity Recognition (NER) model designed specifically for medical, biomedical, and clinical text mining. Leveraging state-of-the-art zero-shot learning, this model empowers researchers, clinicians, and data scientists to extract expert-level biomedical entities—such as diseases, chemicals, genes, species, and clinical findings—directly from unstructured text, without the need for task-specific retraining.

• OpenResearcher-30B-A3B↗

  OpenResearcher