HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

2,379,302 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

feature-extraction

Qwen/Qwen3-Embedding-4B

Qwen/Qwen3-Embedding-4B is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.

↓ 1,835,524♡ 342
4.0B12 GB+ VRAMapache-2.0
Deployment details →
general AI

Serveurperso/ACE-Step-1.5-GGUF

Serveurperso/ACE-Step-1.5-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,816,700♡ 108
Unknown8 GB+ VRAMmit
Deployment details →
automatic-speech-recognition

facebook/wav2vec2-base-960h

facebook/wav2vec2-base-960h is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,789,207♡ 413
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-ranking

cross-encoder/ms-marco-MiniLM-L12-v2

cross-encoder/ms-marco-MiniLM-L12-v2 is a text ranking model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,788,137♡ 122
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

mistralai/Mistral-7B-Instruct-v0.2

mistralai/Mistral-7B-Instruct-v0.2 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

↓ 1,780,716♡ 3,270
7.0B24 GB+ VRAMapache-2.0
Deployment details →
sentence-similarity

Alibaba-NLP/gte-large-en-v1.5

Alibaba-NLP/gte-large-en-v1.5 is a sentence similarity model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 1,780,032♡ 251
Unknown4 GB+ VRAMapache-2.0
Deployment details →
general AI

speechbrain/spkrec-ecapa-voxceleb

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

↓ 1,777,383♡ 363
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-to-video

comfyicu/LTX-2.5

comfyicu/LTX-2.5 is a image to video model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,760,056♡ 10
Unknown8 GB+ VRAMother
Deployment details →
automatic-speech-recognition

KBLab/wav2vec2-large-voxrex-swedish

KBLab/wav2vec2-large-voxrex-swedish is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,755,787♡ 24
Unknown8 GB+ VRAMcc0-1.0
Deployment details →
time-series-forecasting

google/timesfm-2.5-200m-pytorch

google/timesfm-2.5-200m-pytorch is a time series forecasting model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,751,255♡ 279
Unknown8 GB+ VRAMapache-2.0
Deployment details →
zero-shot-image-classification

google/siglip2-giant-opt-patch16-384

google/siglip2-giant-opt-patch16-384 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.

↓ 1,750,409♡ 56
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

Qwen/Qwen2.5-Coder-14B-Instruct

Qwen/Qwen2.5-Coder-14B-Instruct is a text generation model indexed for deployment research. Estimated minimum GPU memory is 48 GB. It is publicly listed on Hugging Face.

↓ 1,736,640♡ 206
14.0B48 GB+ VRAMapache-2.0
Deployment details →
general AI

mistralai/Mistral-7B-Instruct-v0.3

mistralai/Mistral-7B-Instruct-v0.3 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

↓ 1,732,282♡ 3,812
7.0B24 GB+ VRAMapache-2.0
Deployment details →
general AI

Comfy-Org/Qwen-Image-Edit_ComfyUI

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

↓ 1,722,253♡ 511
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

Qwen/Qwen2.5-VL-7B-Instruct-AWQ

Qwen/Qwen2.5-VL-7B-Instruct-AWQ 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.

↓ 1,712,283♡ 118
7.0B24 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

Qwen/Qwen3.5-27B

Qwen/Qwen3.5-27B 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.

↓ 1,710,507♡ 1,073
27.0B64 GB+ VRAMapache-2.0
Deployment details →
automatic-speech-recognition

Systran/faster-whisper-base

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

↓ 1,708,273♡ 50
Unknown8 GB+ VRAMmit
Deployment details →
any-to-any

google/gemma-4-12B-it

google/gemma-4-12B-it is a any to any model indexed for deployment research. Estimated minimum GPU memory is 32 GB. It is publicly listed on Hugging Face.

↓ 1,704,687♡ 1,686
12.0B32 GB+ VRAMapache-2.0
Deployment details →
automatic-speech-recognition

openai/whisper-base

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

↓ 1,699,755♡ 311
Unknown8 GB+ VRAMapache-2.0
Deployment details →
feature-extraction

intfloat/multilingual-e5-large-instruct

intfloat/multilingual-e5-large-instruct is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 1,696,516♡ 655
Unknown4 GB+ VRAMmit
Deployment details →
text-generation

distilbert/distilgpt2

distilbert/distilgpt2 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,691,697♡ 661
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI

Comfy-Org/Qwen-Image-Edit

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

↓ 1,681,813♡ 511
Unknown8 GB+ VRAMapache-2.0
Deployment details →