HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

2,623,850 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

image-text-to-text

ggml-org/gemma-3-12b-it-GGUF

ggml-org/gemma-3-12b-it-GGUF 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.

↓ 74,553♡ 32
12.0B12 GB+ VRAMgemma
Deployment details →
image-text-to-text

RedHatAI/gemma-4-31B-it-NVFP4

RedHatAI/gemma-4-31B-it-NVFP4 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.

↓ 74,279♡ 56
31.0B80 GB+ VRAMapache-2.0
Deployment details →
text-classification

jason9693/Qwen2.5-1.5B-apeach

jason9693/Qwen2.5-1.5B-apeach is a text classification model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.

↓ 74,156♡ 6
1.5B6 GB+ VRAMLicense unknown
Deployment details →
image-text-to-text

Chunity/gemma-4-E4B-it-AWQ-4bit

Chunity/gemma-4-E4B-it-AWQ-4bit 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.

↓ 74,026♡ 4
Unknown8 GB+ VRAMLicense unknown
Deployment details →
text-generationGated

google/gemma-3-270m-it

google/gemma-3-270m-it is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. Access approval is required on Hugging Face.

↓ 73,920♡ 647
Unknown8 GB+ VRAMgemma
Deployment details →
image-text-to-text

unsloth/Qwen3.5-9B-MTP-GGUF

unsloth/Qwen3.5-9B-MTP-GGUF 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.

↓ 73,905♡ 187
9.0B8 GB+ VRAMapache-2.0
Deployment details →
zero-shot-image-classification

timm/MobileCLIP2-S2-OpenCLIP

timm/MobileCLIP2-S2-OpenCLIP 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.

↓ 73,537♡ 6
Unknown8 GB+ VRAMapple-amlr
Deployment details →
general AIGated

black-forest-labs/FLUX.1-Fill-dev

black-forest-labs/FLUX.1-Fill-dev is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. Access approval is required on Hugging Face.

↓ 73,170♡ 1,222
Unknown8 GB+ VRAMother
Deployment details →
text-to-speech

pnnbao-ump/VieNeu-TTS-v2

pnnbao-ump/VieNeu-TTS-v2 is a text to speech model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 73,147♡ 29
Unknown8 GB+ VRAMapache-2.0
Deployment details →
feature-extraction

Xenova/jina-embeddings-v2-small-en

Xenova/jina-embeddings-v2-small-en is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 73,120♡ 1
Unknown4 GB+ VRAMLicense unknown
Deployment details →
image-text-to-text

Qwen/Qwen2.5-VL-72B-Instruct

Qwen/Qwen2.5-VL-72B-Instruct is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 192 GB. It is publicly listed on Hugging Face.

↓ 73,097♡ 659
72.0B192 GB+ VRAMother
Deployment details →
text-generation

ggml-org/stories15M_MOE

ggml-org/stories15M_MOE is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 73,041♡ 8
Unknown8 GB+ VRAMmit
Deployment details →
text-generation

nvidia/Kimi-K2-Thinking-NVFP4

nvidia/Kimi-K2-Thinking-NVFP4 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 72,924♡ 33
Unknown8 GB+ VRAMother
Deployment details →
text-to-image

Runpod/FLUX.2-klein-4B-mflux-4bit

Runpod/FLUX.2-klein-4B-mflux-4bit is a text to image model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.

↓ 72,825♡ 11
4.0B6 GB+ VRAMapache-2.0
Deployment details →
image-classification

smp-hub/resnet34.imagenet

smp-hub/resnet34.imagenet is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 72,551♡ 0
Unknown8 GB+ VRAMother
Deployment details →