HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

2,573,868 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

text-generation

openai-community/gpt2-xl

openai-community/gpt2-xl is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 79,452♡ 395
Unknown8 GB+ VRAMmit
Deployment details →
text-generation

HuggingFaceTB/SmolLM-135M

HuggingFaceTB/SmolLM-135M is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 79,269♡ 276
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

ibm-granite/granite-3.3-8b-instruct

ibm-granite/granite-3.3-8b-instruct is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

↓ 79,185♡ 161
8.0B24 GB+ VRAMapache-2.0
Deployment details →
general AI

Comfy-Org/ERNIE-Image

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

↓ 79,105♡ 191
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI

ellamind/propella-1-1.7b

ellamind/propella-1-1.7b is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.

↓ 79,026♡ 3
1.7B6 GB+ VRAMapache-2.0
Deployment details →
text-generation

Qwen/Qwen2.5-Math-7B-Instruct

Qwen/Qwen2.5-Math-7B-Instruct is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

↓ 78,522♡ 97
7.0B24 GB+ VRAMapache-2.0
Deployment details →
question-answering

timpal0l/mdeberta-v3-base-squad2

timpal0l/mdeberta-v3-base-squad2 is a question answering model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 78,234♡ 260
Unknown8 GB+ VRAMmit
Deployment details →
image-to-video

Wan-AI/Wan2.1-VACE-14B

Wan-AI/Wan2.1-VACE-14B is a image to video model indexed for deployment research. Estimated minimum GPU memory is 48 GB. It is publicly listed on Hugging Face.

↓ 77,922♡ 514
14.0B48 GB+ VRAMapache-2.0
Deployment details →
text-generation

RedHatAI/Qwen2.5-1.5B-quantized.w8a8

RedHatAI/Qwen2.5-1.5B-quantized.w8a8 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.

↓ 77,437♡ 4
1.5B6 GB+ VRAMapache-2.0
Deployment details →
image-classification

timm/rexnet_150.nav_in1k

timm/rexnet_150.nav_in1k is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 77,362♡ 0
Unknown8 GB+ VRAMmit
Deployment details →
image-text-to-text

Qwen/Qwen2-VL-2B-Instruct-AWQ

Qwen/Qwen2-VL-2B-Instruct-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.

↓ 77,258♡ 33
2.0B8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

HuggingFaceM4/Idefics3-8B-Llama3

HuggingFaceM4/Idefics3-8B-Llama3 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.

↓ 77,151♡ 307
8.0B24 GB+ VRAMapache-2.0
Deployment details →
automatic-speech-recognition

Vikhrmodels/Borealis

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

↓ 77,140♡ 54
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-classification

BAAI/bge-reranker-v2-gemma

BAAI/bge-reranker-v2-gemma is a text classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 77,115♡ 89
Unknown8 GB+ VRAMapache-2.0
Deployment details →