HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

2,333,310 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

image-text-to-text

Qwen/Qwen3.8-27B-FP8

Qwen/Qwen3.8-27B-FP8 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.

↓ 4,253,998♡ 940
27.0B64 GB+ VRAMapache-2.0
Deployment details →
general AI

Comfy-Org/Wan-2.1

Comfy-Org/Wan-2.1 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 4,218,171♡ 1,023
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

Qwen/Qwen3-1.7B

Qwen/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.

↓ 4,136,449♡ 592
1.7B6 GB+ VRAMapache-2.0
Deployment details →
automatic-speech-recognition

jonatasgrosman/wav2vec2-large-xlsr-53-russian

jonatasgrosman/wav2vec2-large-xlsr-53-russian is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 4,121,662♡ 88
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

nvidia/Qwen3.6-35B-A3B-NVFP4

nvidia/Qwen3.6-35B-A3B-NVFP4 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.

↓ 4,104,529♡ 670
35.0B80 GB+ VRAMapache-2.0
Deployment details →
zero-shot-image-classification

laion/CLIP-ViT-B-32-laion2B-s34B-b79K

laion/CLIP-ViT-B-32-laion2B-s34B-b79K 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.

↓ 3,939,937♡ 155
Unknown8 GB+ VRAMmit
Deployment details →
any-to-any

google/gemma-4-E4B-it

google/gemma-4-E4B-it is a any to any model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 3,936,833♡ 1,769
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

ornith-ai/Ornith-1.5-35B-A3B-GGUF

ornith-ai/Ornith-1.5-35B-A3B-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 32 GB. It is publicly listed on Hugging Face.

↓ 3,803,120♡ 552
35.0B32 GB+ VRAMmit
Deployment details →
image-text-to-text

lmstudio-community/Qwen3.8-27B-MLX-4bit

lmstudio-community/Qwen3.8-27B-MLX-4bit 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.

↓ 3,735,452♡ 111
27.0B24 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

Qwen/Qwen3.6-35B-A3B

Qwen/Qwen3.6-35B-A3B is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.

↓ 3,733,341♡ 3,026
35.0B80 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

Qwen/Qwen3-VL-4B-Instruct

Qwen/Qwen3-VL-4B-Instruct is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.

↓ 3,606,071♡ 511
4.0B12 GB+ VRAMapache-2.0
Deployment details →
fill-mask

answerdotai/ModernBERT-base

answerdotai/ModernBERT-base is a fill mask model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 3,599,085♡ 1,145
Unknown8 GB+ VRAMapache-2.0
Deployment details →
automatic-speech-recognition

openai/whisper-small

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

↓ 3,595,474♡ 634
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

lmstudio-community/Qwen3.8-27B-MLX-8bit

lmstudio-community/Qwen3.8-27B-MLX-8bit 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.

↓ 3,583,711♡ 50
27.0B32 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

lmstudio-community/Qwen3.8-27B-MLX-6bit

lmstudio-community/Qwen3.8-27B-MLX-6bit 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.

↓ 3,566,589♡ 38
27.0B64 GB+ VRAMapache-2.0
Deployment details →
automatic-speech-recognition

openai/whisper-large-v3

openai/whisper-large-v3 is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 3,557,848♡ 6,685
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

lmstudio-community/Qwen3.8-27B-MLX-5bit

lmstudio-community/Qwen3.8-27B-MLX-5bit 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.

↓ 3,554,129♡ 16
27.0B64 GB+ VRAMapache-2.0
Deployment details →
feature-extraction

BAAI/bge-small-zh-v1.5

BAAI/bge-small-zh-v1.5 is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 3,548,595♡ 162
Unknown4 GB+ VRAMmit
Deployment details →
image-text-to-text

Qwen/Qwen3.6-35B-A3B-FP8

Qwen/Qwen3.6-35B-A3B-FP8 is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.

↓ 3,520,129♡ 438
35.0B80 GB+ VRAMapache-2.0
Deployment details →
fill-mask

google-bert/bert-base-cased

google-bert/bert-base-cased is a fill mask model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 3,508,322♡ 393
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

EleutherAI/pythia-160m

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

↓ 3,321,768♡ 64
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

Qwen/Qwen3.5-0.8B

Qwen/Qwen3.5-0.8B 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.

↓ 3,319,564♡ 784
800M4 GB+ VRAMapache-2.0
Deployment details →