HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

2,433,299 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

keypoint-detection

usyd-community/vitpose-base-simple

usyd-community/vitpose-base-simple is a keypoint detection model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 146,529♡ 34
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-classification

timm/vgg16.tv_in1k

timm/vgg16.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.

↓ 146,319♡ 8
Unknown8 GB+ VRAMbsd-3-clause
Deployment details →
token-classification

Qwen/Qwen3-ForcedAligner-0.6B-hf

Qwen/Qwen3-ForcedAligner-0.6B-hf is a token classification model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 146,238♡ 35
600M4 GB+ VRAMapache-2.0
Deployment details →
general AI

Qwen/Qwen3-Embedding-0.6B-GGUF

Qwen/Qwen3-Embedding-0.6B-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 145,983♡ 577
600M4 GB+ VRAMapache-2.0
Deployment details →
image-feature-extraction

timm/vit_large_patch14_reg4_dinov2.lvd142m

timm/vit_large_patch14_reg4_dinov2.lvd142m is a image feature extraction model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 145,510♡ 7
Unknown8 GB+ VRAMapache-2.0
Deployment details →
time-series-forecasting

amazon/chronos-t5-large

amazon/chronos-t5-large is a time series forecasting model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 145,189♡ 179
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-classification

timm/efficientnetv2_rw_m.agc_in1k

timm/efficientnetv2_rw_m.agc_in1k is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 145,095♡ 2
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

Qwen/Qwen3-Next-80B-A3B-Instruct-FP8

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.

↓ 144,907♡ 91
80.0B192 GB+ VRAMapache-2.0
Deployment details →
image-to-video

Wan-AI/Wan2.2-I2V-A14B-Diffusers

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.

↓ 144,903♡ 307
Unknown8 GB+ VRAMapache-2.0
Deployment details →
feature-extraction

Xenova/bge-m3

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.

↓ 144,866♡ 52
Unknown4 GB+ VRAMmit
Deployment details →
text-to-image

xinsir/controlnet-union-sdxl-1.0

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.

↓ 144,845♡ 1,864
Unknown12 GB+ VRAMapache-2.0
Deployment details →
general AI

weecology/deepforest-tree

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.

↓ 144,738♡ 11
Unknown8 GB+ VRAMmit
Deployment details →
time-series-forecasting

Datadog/Toto-2.0-4m

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.

↓ 144,661♡ 20
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

z-lab/Qwen3.6-27B-DFlash

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.

↓ 144,658♡ 399
27.0B64 GB+ VRAMmit
Deployment details →
automatic-speech-recognition

handy-computer/Qwen3-ASR-0.6B-gguf

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.

↓ 144,472♡ 2
600M4 GB+ VRAMapache-2.0
Deployment details →
image-feature-extraction

timm/vit_large_patch16_siglip_256.v2_webli

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.

↓ 143,497♡ 2
Unknown8 GB+ VRAMapache-2.0
Deployment details →