HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

2,700,638 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

image-classification

timm/tf_efficientnet_b3.ns_jft_in1k

timm/tf_efficientnet_b3.ns_jft_in1k is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 30,423♡ 2
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-classification

timm/swinv2_tiny_window8_256.ms_in1k

timm/swinv2_tiny_window8_256.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.

↓ 30,360♡ 2
Unknown8 GB+ VRAMmit
Deployment details →
feature-extraction

MongoDB/mdbr-leaf-mt

MongoDB/mdbr-leaf-mt is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 30,333♡ 26
Unknown4 GB+ VRAMapache-2.0
Deployment details →
automatic-speech-recognition

openai/whisper-medium.en

openai/whisper-medium.en is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 30,297♡ 69
Unknown8 GB+ VRAMapache-2.0
Deployment details →
zero-shot-image-classification

timm/ViT-SO400M-16-SigLIP2-512

timm/ViT-SO400M-16-SigLIP2-512 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.

↓ 30,284♡ 8
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-classification

facebook/convnext-small-224

facebook/convnext-small-224 is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 30,243♡ 9
Unknown8 GB+ VRAMapache-2.0
Deployment details →
sentence-similarity

deepvk/USER-base

deepvk/USER-base is a sentence similarity model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 30,185♡ 26
Unknown4 GB+ VRAMapache-2.0
Deployment details →
general AI

silveroxides/Chroma1-HD-GGUF

silveroxides/Chroma1-HD-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 30,141♡ 10
Unknown8 GB+ VRAMapache-2.0
Deployment details →
zero-shot-image-classification

Marqo/marqo-fashionCLIP

Marqo/marqo-fashionCLIP 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.

↓ 30,046♡ 39
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-feature-extraction

timm/vit_base_patch16_siglip_256.v2_webli

timm/vit_base_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.

↓ 29,921♡ 4
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

ggml-org/Qwen3.6-27B-GGUF

ggml-org/Qwen3.6-27B-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.

↓ 29,900♡ 24
27.0B24 GB+ VRAMapache-2.0
Deployment details →
fill-mask

sbintuitions/modernbert-ja-310m

sbintuitions/modernbert-ja-310m is a fill mask model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 29,804♡ 31
Unknown8 GB+ VRAMmit
Deployment details →
text-generation

BSC-LT/salamandra-7b-instruct

BSC-LT/salamandra-7b-instruct is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

↓ 29,777♡ 84
7.0B24 GB+ VRAMapache-2.0
Deployment details →
text-generation

01-ai/Yi-34B-Chat

01-ai/Yi-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.

↓ 29,765♡ 358
34.0B80 GB+ VRAMapache-2.0
Deployment details →
voice-activity-detection

FluidInference/silero-vad-coreml

FluidInference/silero-vad-coreml is a voice activity detection model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 29,686♡ 29
Unknown8 GB+ VRAMmit
Deployment details →