HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

2,732,634 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

fill-mask

Exscientia/IgBert

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

↓ 22,717♡ 6
Unknown8 GB+ VRAMmit
Deployment details →
text-generation

ibm-granite/granite-4.0-350m

ibm-granite/granite-4.0-350m is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 22,707♡ 70
Unknown8 GB+ VRAMapache-2.0
Deployment details →
audio-classification

awsaf49/sonics-spectttra-alpha-120s

awsaf49/sonics-spectttra-alpha-120s is a audio classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 22,692♡ 1
Unknown8 GB+ VRAMmit
Deployment details →
image-text-to-text

unsloth/Qwen3-VL-30B-A3B-Instruct-GGUF

unsloth/Qwen3-VL-30B-A3B-Instruct-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.

↓ 22,659♡ 115
30.0B24 GB+ VRAMapache-2.0
Deployment details →
text-to-video

alibaba-pai/Wan2.2-Fun-Reward-LoRAs

alibaba-pai/Wan2.2-Fun-Reward-LoRAs is a text to video model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 22,622♡ 76
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-to-video

Wan-AI/Wan2.2-TI2V-5B

Wan-AI/Wan2.2-TI2V-5B is a text to video model indexed for deployment research. Estimated minimum GPU memory is 16 GB. It is publicly listed on Hugging Face.

↓ 22,539♡ 796
5.0B16 GB+ VRAMapache-2.0
Deployment details →
general AI

speechbrain/spkrec-resnet-voxceleb

speechbrain/spkrec-resnet-voxceleb is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 22,510♡ 9
Unknown8 GB+ VRAMapache-2.0
Deployment details →
time-series-forecasting

ibm-granite/granite-timeseries-flowstate-r1

ibm-granite/granite-timeseries-flowstate-r1 is a time series forecasting model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 22,509♡ 28
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

microsoft/Phi-3-small-8k-instruct

microsoft/Phi-3-small-8k-instruct is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 22,479♡ 178
Unknown8 GB+ VRAMmit
Deployment details →
text-generation

EleutherAI/pythia-160m-seed3

EleutherAI/pythia-160m-seed3 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 22,464♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
audio-classification

mo-thecreator/Deepfake-audio-detection

mo-thecreator/Deepfake-audio-detection is a audio classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 22,413♡ 17
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-classification

AnxForever/chinese-ai-detector-bert

AnxForever/chinese-ai-detector-bert is a text classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 22,351♡ 0
Unknown8 GB+ VRAMmit
Deployment details →
text-generation

Salesforce/codegen-2B-multi

Salesforce/codegen-2B-multi is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 22,294♡ 42
2.0B8 GB+ VRAMbsd-3-clause
Deployment details →
general AI

AstraMindAI/xttsv2

AstraMindAI/xttsv2 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 22,280♡ 7
Unknown8 GB+ VRAMapache-2.0
Deployment details →