2,421,301 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
black-forest-labs/FLUX.2-klein-4b-fp8 is a image to image model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
timm/convnext_large.fb_in22k_ft_in1k_384 is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
thenlper/gte-base is a sentence similarity model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
Qwen/Qwen2-1.5B-Instruct is a text generation model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.
unsloth/Qwen2.5-VL-7B-Instruct-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.
HadrianSecurity/subwiz is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
timm/vit_tiny_patch16_224.augreg_in21k_ft_in1k is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
unsloth/Qwen3.5-4B is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
Qwen/Qwen3-235B-A22B-Instruct-2507 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 256 GB. It is publicly listed on Hugging Face.
ibm-granite/granite-vision-3.3-2b is a image to text model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
Qwen/Qwen2.5-7B-Instruct-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
gnnavesg/Ornith-1.0-35B-NVFP4 is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-GenomicDetect-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.
casperhansen/deepseek-r1-distill-qwen-32b-awq is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-OrganismDetect-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-GenomeDetect-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.
unsloth/Qwen3-Coder-Next-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
microsoft/BiomedCLIP-PubMedBERT_256-vit_base_patch16_224 is a zero shot image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
Qwen/Qwen3-Reranker-8B is a text ranking model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-GenomeDetect-ModernMed-149M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
timm/densenet201.tv_in1k is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
ISxOdin/vit-base-oxford-iiit-pets is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
h2oai/h2o-danube3-500m-chat is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
moonshotai/Kimi-Linear-48B-A3B-Instruct is a text generation model indexed for deployment research. Estimated minimum GPU memory is 128 GB. It is publicly listed on Hugging Face.