HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

1,051,042 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

text-to-image

B4100/snofs

B4100/snofs is a text to image model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.

↓ 2,337♡ 0
Unknown12 GB+ VRAMLicense unknown
Deployment details →
general AI

BeaverAI/Orion-26B-A4B-v1c-GGUF

BeaverAI/Orion-26B-A4B-v1c-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

↓ 2,337♡ 6
26.0B24 GB+ VRAMLicense unknown
Deployment details →
zero-shot-image-classification

qihoo360/fg-clip2-base

qihoo360/fg-clip2-base 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.

↓ 2,334♡ 28
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-classification

RyanStudio/Mezzo-Prompt-Guard-v2-Base

RyanStudio/Mezzo-Prompt-Guard-v2-Base is a text classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 2,334♡ 0
Unknown8 GB+ VRAMmit
Deployment details →
image-text-to-text

prithivMLmods/Qwen3.6-35B-A3B-MTP-GGUF

prithivMLmods/Qwen3.6-35B-A3B-MTP-GGUF is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 32 GB. It is publicly listed on Hugging Face.

↓ 2,333♡ 3
35.0B32 GB+ VRAMapache-2.0
Deployment details →
general AI

mudler/Qwen3.5-397B-A17B-APEX-GGUF

mudler/Qwen3.5-397B-A17B-APEX-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 256 GB. It is publicly listed on Hugging Face.

↓ 2,328♡ 3
397.0B256 GB+ VRAMapache-2.0
Deployment details →
automatic-speech-recognition

cstr/qwen3-asr-0.6b-GGUF

cstr/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.

↓ 2,326♡ 3
600M4 GB+ VRAMapache-2.0
Deployment details →
image-feature-extraction

kryveil/dinov3-vitl16-pretrain-lvd1689m

kryveil/dinov3-vitl16-pretrain-lvd1689m is a image feature extraction model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 2,325♡ 1
Unknown8 GB+ VRAMother
Deployment details →