2,538,283 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
Qwen/Qwen3-Next-80B-A3B-Instruct-FP8 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 192 GB. It is publicly listed on Hugging Face.
Wan-AI/Wan2.2-I2V-A14B-Diffusers is a image to video model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
Xenova/bge-m3 is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
xinsir/controlnet-union-sdxl-1.0 is a text to image model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
MaziyarPanahi/Mistral-Small-24B-Instruct-2501-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
weecology/deepforest-tree is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
Datadog/Toto-2.0-4m is a time series forecasting model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
z-lab/Qwen3.6-27B-DFlash is a text generation model indexed for deployment research. Estimated minimum GPU memory is 64 GB. It is publicly listed on Hugging Face.
handy-computer/Qwen3-ASR-0.6B-gguf is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
optimum-intel-internal-testing/tiny-random-llava 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.
gaunernst/gemma-3-12b-it-int4-awq 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.
hugging-quants/Meta-Llama-3.1-70B-Instruct-AWQ-INT4 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 48 GB. It is publicly listed on Hugging Face.
timm/mobilenetv4_conv_small.e2400_r224_in1k is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
lmstudio-community/gemma-4-31B-it-QAT-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
KaptainKris/ppo-LunarLander-v3-flip is a reinforcement learning model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
timm/vit_large_patch16_siglip_256.v2_webli is a image feature extraction model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
optimum-intel-internal-testing/tiny-random-whisper is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
microsoft/BiomedVLP-CXR-BERT-specialized is a fill mask model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
depth-anything/DA3NESTED-GIANT-LARGE-1.1 is a depth estimation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
second-state/All-MiniLM-L6-v2-Embedding-GGUF is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
microsoft/rad-dino is a image feature extraction model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
SG161222/RealVisXL_V4.0 is a text to image model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
timm/swin_tiny_patch4_window7_224.ms_in1k is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
lmstudio-community/gemma-4-26B-A4B-it-MLX-4bit 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.