2,429,301 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
bartowski/tencent_UI-Mate-9B-GGUF 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.
ai-forever/sbert_large_nlu_ru is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
Qwen/Qwen2.5-Coder-0.5B-Instruct is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp is a sentence similarity model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
deepseek-ai/DeepSeek-R1-Distill-Llama-8B is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
dslim/distilbert-NER is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
microsoft/trocr-base-handwritten is a image to text model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
mixedbread-ai/mxbai-embed-2d-large-v1 is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
ibm-granite/granite-timeseries-ttm-r2 is a time series forecasting model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
ProCreations/grug-27b-mtp-gguf is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
Jarbas/ovos-model2vec-intents-distiluse-base-multilingual-cased-v2 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
coder3101/Qwen3.5-27B-heretic is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 64 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-PharmaDetect-ModernClinical-149M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
TIGER-Lab/VLM2Vec-Full is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
dima806/man_woman_face_image_detection is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
optimum-intel-internal-testing/tiny-stable-diffusion-torch is a text to image model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-DiseaseDetect-SuperClinical-434M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
allenai/olmOCR-2-7B-1025-FP8 is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
nomic-ai/modernbert-embed-base is a sentence similarity model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
mistralai/Mistral-7B-Instruct-v0.1 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-BloodCancerDetect-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.
Wan-AI/Wan2.2-TI2V-5B-Diffusers is a text to video model indexed for deployment research. Estimated minimum GPU memory is 16 GB. It is publicly listed on Hugging Face.
timm/vit_base_patch16_clip_224.openai is a image feature extraction model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-GenomicDetect-PubMed-335M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.