HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

2,657,848 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

zero-shot-image-classification

timm/vit_large_patch14_clip_336.openai

timm/vit_large_patch14_clip_336.openai 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.

↓ 55,858♡ 2
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI

prihodad/biophi-sapiens1-vh

prihodad/biophi-sapiens1-vh is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 55,807♡ 0
Unknown8 GB+ VRAMmit
Deployment details →
feature-extraction

unslothai/2

unslothai/2 is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 55,723♡ 0
Unknown4 GB+ VRAMLicense unknown
Deployment details →
text-generation

yujiepan/qwen3-tiny-random

yujiepan/qwen3-tiny-random is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 55,696♡ 2
Unknown8 GB+ VRAMLicense unknown
Deployment details →
general AI

eracle/campaign-kit

eracle/campaign-kit is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 55,663♡ 0
Unknown8 GB+ VRAMLicense unknown
Deployment details →
automatic-speech-recognition

zai-org/GLM-ASR-Nano-2512

zai-org/GLM-ASR-Nano-2512 is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 55,603♡ 389
Unknown8 GB+ VRAMmit
Deployment details →
image-text-to-text

unsloth/Qwen3-VL-2B-Instruct-GGUF

unsloth/Qwen3-VL-2B-Instruct-GGUF is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 55,539♡ 43
2.0B4 GB+ VRAMapache-2.0
Deployment details →
feature-extraction

onnx-community/gte-multilingual-base

onnx-community/gte-multilingual-base is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 55,437♡ 13
Unknown4 GB+ VRAMLicense unknown
Deployment details →
text-to-speech

Misha24-10/F5-TTS_RUSSIAN

Misha24-10/F5-TTS_RUSSIAN is a text to speech model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 55,432♡ 230
Unknown8 GB+ VRAMcc-by-nc-4.0
Deployment details →
general AI

jpgallegoar/F5-Spanish

jpgallegoar/F5-Spanish is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 55,396♡ 251
Unknown8 GB+ VRAMcc-by-nc-4.0
Deployment details →
image-text-to-text

nvidia/NVIDIA-Nemotron-Parse-v1.2

nvidia/NVIDIA-Nemotron-Parse-v1.2 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.

↓ 55,331♡ 71
Unknown8 GB+ VRAMother
Deployment details →
text-generation

Efficient-Large-Model/gemma-2-2b-it

Efficient-Large-Model/gemma-2-2b-it is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 55,175♡ 3
2.0B8 GB+ VRAMgemma
Deployment details →
text-generation

nvidia/Nemotron-H-8B-Base-8K

nvidia/Nemotron-H-8B-Base-8K is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

↓ 55,071♡ 60
8.0B24 GB+ VRAMother
Deployment details →
fill-mask

flaubert/flaubert_base_uncased

flaubert/flaubert_base_uncased is a fill mask model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 55,015♡ 4
Unknown8 GB+ VRAMmit
Deployment details →
text-generation

ibm-granite/granite-3.1-8b-instruct

ibm-granite/granite-3.1-8b-instruct is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

↓ 54,963♡ 169
8.0B24 GB+ VRAMapache-2.0
Deployment details →