2,520,381 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
deepset/tinyroberta-squad2 is a question answering model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
stefan-it/wav2vec2-large-xlsr-53-basque is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
ornith-ai/Ornith-1.5-9B-MLX is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
nvidia/Llama-3.3-70B-Instruct-NVFP4 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 192 GB. It is publicly listed on Hugging Face.
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.
optimum-intel-internal-testing/tiny-random-distilbert is a text classification model indexed for deployment research. Estimated minimum GPU memory is 8 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.
ornith-ai/Ornith-1.5-9B-MLX-8bit is a text generation model indexed for deployment research. Estimated minimum GPU memory is 12 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.
LSX-UniWue/LLaMmlein_1B_prerelease is a text generation model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.
moonshotai/Kimi-K2-Instruct is a text generation 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.
nvidia/MiniMax-M3-NVFP4 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
trl-internal-testing/tiny-Olmo3ForCausalLM is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 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.
sentence-transformers/multi-qa-MiniLM-L6-dot-v1 is a sentence similarity model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.