HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

2,800,619 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

text-generation

01-ai/Yi-1.5-34B-Chat

01-ai/Yi-1.5-34B-Chat is a text generation model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.

↓ 14,388♡ 280
34.0B80 GB+ VRAMapache-2.0
Deployment details →
text-generation

nferruz/ProtGPT2

nferruz/ProtGPT2 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 14,342♡ 118
Unknown8 GB+ VRAMapache-2.0
Deployment details →
visual-question-answering

OpenMed/Qwen3.5-2B-MedVL

OpenMed/Qwen3.5-2B-MedVL is a visual question answering model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 14,329♡ 11
2.0B8 GB+ VRAMapache-2.0
Deployment details →
image-segmentation

onnx-community/ormbg-ONNX

onnx-community/ormbg-ONNX is a image segmentation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 14,321♡ 11
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

Qwen/Qwen3-VL-30B-A3B-Thinking-GGUF

Qwen/Qwen3-VL-30B-A3B-Thinking-GGUF 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.

↓ 14,301♡ 14
30.0B24 GB+ VRAMapache-2.0
Deployment details →
general AI

robbyant/lingbot-video-moe-30b-a3b

robbyant/lingbot-video-moe-30b-a3b is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.

↓ 14,295♡ 133
30.0B80 GB+ VRAMapache-2.0
Deployment details →
automatic-speech-recognition

ivrit-ai/whisper-large-v3

ivrit-ai/whisper-large-v3 is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 14,287♡ 26
Unknown8 GB+ VRAMapache-2.0
Deployment details →
automatic-speech-recognition

moonshine-ai/moonshine-streaming-small

moonshine-ai/moonshine-streaming-small is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 14,284♡ 12
Unknown8 GB+ VRAMmit
Deployment details →
image-feature-extraction

google/vit-huge-patch14-224-in21k

google/vit-huge-patch14-224-in21k is a image feature extraction model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 14,282♡ 31
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-classification

timm/efficientnet_b1.ra4_e3600_r240_in1k

timm/efficientnet_b1.ra4_e3600_r240_in1k is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 14,271♡ 1
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-classification

timm/pvt_v2_b2.in1k

timm/pvt_v2_b2.in1k is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 14,258♡ 1
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

RedHatAI/Qwen3-8B-quantized.w4a16

RedHatAI/Qwen3-8B-quantized.w4a16 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 14,241♡ 5
8.0B8 GB+ VRAMapache-2.0
Deployment details →
text-classification

protectai/vishnun-codenlbert-sm-onnx

protectai/vishnun-codenlbert-sm-onnx is a text classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 14,206♡ 1
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

zai-org/GLM-4.7-FP8

zai-org/GLM-4.7-FP8 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 14,204♡ 126
Unknown8 GB+ VRAMmit
Deployment details →
mask-generation

Zigeng/SlimSAM-uniform-77

Zigeng/SlimSAM-uniform-77 is a mask generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 14,203♡ 32
Unknown8 GB+ VRAMapache-2.0
Deployment details →