2,453,298 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
OpenMed/OpenMed-NER-AnatomyDetect-SuperClinical-184M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenOneRec/OneRec-1.7B is a text generation model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.
lmstudio-community/Qwen3-VL-8B-Instruct-MLX-4bit is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-OrganismDetect-SuperClinical-184M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-BloodCancerDetect-SnowMed-568M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
google/timesfm-2.0-500m-pytorch is a time series forecasting model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-PathologyDetect-SuperClinical-141M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-AnatomyDetect-TinyMed-135M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
jhu-clsp/ettin-encoder-17m is a fill mask model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-DiseaseDetect-SnowMed-568M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-GenomeDetect-ElectraMed-33M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-ChemicalDetect-SuperClinical-141M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-ProteinDetect-TinyMed-135M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-ProteinDetect-ElectraMed-560M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-DNADetect-SuperClinical-141M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-GenomeDetect-ElectraMed-560M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-DNADetect-PubMed-109M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-PathologyDetect-TinyMed-82M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-PharmaDetect-ModernMed-395M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-GenomicDetect-ElectraMed-33M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-DNADetect-TinyMed-82M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-DNADetect-BigMed-560M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-GenomicDetect-MultiMed-335M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-GenomicDetect-SuperMedical-125M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.