HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

2,688,741 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

text-generation

unsloth/llama-3-8b-Instruct

unsloth/llama-3-8b-Instruct is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

↓ 43,258♡ 67
8.0B24 GB+ VRAMllama3
Deployment details →
feature-extraction

Supabase/gte-small

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

↓ 43,198♡ 103
Unknown4 GB+ VRAMmit
Deployment details →
general AI

MeiGen-AI/InfiniteTalk

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

↓ 43,186♡ 244
Unknown8 GB+ VRAMapache-2.0
Deployment details →
automatic-speech-recognition

handy-computer/whisper-small-gguf

handy-computer/whisper-small-gguf is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 43,143♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
token-classification

adibvafa/CodonTransformer

adibvafa/CodonTransformer is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 43,137♡ 9
Unknown8 GB+ VRAMapache-2.0
Deployment details →
depth-estimation

Intel/zoedepth-nyu-kitti

Intel/zoedepth-nyu-kitti is a depth estimation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 43,132♡ 26
Unknown8 GB+ VRAMmit
Deployment details →
general AI

facebook/tribev2

facebook/tribev2 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 43,115♡ 702
Unknown8 GB+ VRAMcc-by-nc-4.0
Deployment details →
image-classification

timm/maxvit_nano_rw_256.sw_in1k

timm/maxvit_nano_rw_256.sw_in1k is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 43,051♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
depth-estimation

apple/coreml-depth-anything-v2-small

apple/coreml-depth-anything-v2-small is a depth estimation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 43,003♡ 103
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

unsloth/Llama-3.2-1B-Instruct-GGUF

unsloth/Llama-3.2-1B-Instruct-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 42,904♡ 78
1.0B4 GB+ VRAMllama3.2
Deployment details →
text-generation

PrimeIntellect/Qwen3-1.7B

PrimeIntellect/Qwen3-1.7B is a text generation model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.

↓ 42,866♡ 0
1.7B6 GB+ VRAMapache-2.0
Deployment details →
text-to-image

SDim1973/Z-Image-Loras

SDim1973/Z-Image-Loras is a text to image model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.

↓ 42,850♡ 0
Unknown12 GB+ VRAMapache-2.0
Deployment details →
feature-extraction

mlsa-iai-msu-lab/sci-rus-tiny3

mlsa-iai-msu-lab/sci-rus-tiny3 is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 42,836♡ 0
Unknown4 GB+ VRAMLicense unknown
Deployment details →
image-text-to-text

unsloth/Qwen3.6-27B

unsloth/Qwen3.6-27B is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 64 GB. It is publicly listed on Hugging Face.

↓ 42,803♡ 45
27.0B64 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

openbmb/MiniCPM-V-4.6-Thinking-AWQ

openbmb/MiniCPM-V-4.6-Thinking-AWQ 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.

↓ 42,762♡ 4
Unknown8 GB+ VRAMapache-2.0
Deployment details →