전체 검색
AI 모델 84759
- AceMath-72B-Instruct↗
NVIDIA
- DeepSeek-V4-Pro-0813-nvfp4-DSpark↗
NVIDIA
- OpenMath2-Llama3.1-70B-nemo↗
NVIDIA
- OpenMed-ZeroShot-NER-Protein-Small-166M↗
OpenMed
**Specialized model for Biomedical Entity Recognition - Various biomedical entities** Focuses on **protein entities** (families, complexes, variants) and related molecular biology terms.Applicable to **protein–protein interaction mining**, **pathway modeling**, and **systems biology**. 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.
- mm_grounding_dino_large_o365v2_oiv6_goldg↗
openmmlab-community
- tiny-random-OPTModel↗
optimum-intel-internal-testing
- Huihui-GLM-5.3-Flash-abliterated-GGUF↗
Petyx123
- Qwen3.8-27B-MixedInt4-AutoRound↗
Pilcothink
- Lewi-Surge-Preview-3B↗
PoliteChainsaw
- Basically-Human-4B-f32-GGUF↗
prithivMLmods
