HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

2,587,853 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

image-to-text

mlx-community/GLM-OCR-4bit

mlx-community/GLM-OCR-4bit is a image to text model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 64,384♡ 4
Unknown8 GB+ VRAMmit
Deployment details →
text-generation

Qwen/Qwen2.5-1.5B-Instruct-AWQ

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

↓ 64,292♡ 10
1.5B6 GB+ VRAMapache-2.0
Deployment details →
any-to-any

openbmb/MiniCPM-o-4_5-awq

openbmb/MiniCPM-o-4_5-awq is a any to any model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 63,916♡ 22
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-to-image

T5B/Z-Image-Turbo-FP8

T5B/Z-Image-Turbo-FP8 is a text to image model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.

↓ 63,691♡ 173
Unknown12 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

unsloth/gemma-4-12b-it

unsloth/gemma-4-12b-it 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.

↓ 63,482♡ 17
12.0B32 GB+ VRAMapache-2.0
Deployment details →
text-generation

unsloth/Qwen3-1.7B-unsloth-bnb-4bit

unsloth/Qwen3-1.7B-unsloth-bnb-4bit is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 63,432♡ 12
1.7B4 GB+ VRAMapache-2.0
Deployment details →
translationGated

ai4bharat/indictrans2-en-indic-1B

ai4bharat/indictrans2-en-indic-1B is a translation model indexed for deployment research. Estimated minimum GPU memory is 6 GB. Access approval is required on Hugging Face.

↓ 63,341♡ 72
1.0B6 GB+ VRAMmit
Deployment details →
image-feature-extraction

timm/vit_base_patch16_224.orig_in21k

timm/vit_base_patch16_224.orig_in21k is a image feature extraction model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 63,309♡ 1
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

unsloth/gpt-oss-20b-unsloth-bnb-4bit

unsloth/gpt-oss-20b-unsloth-bnb-4bit is a text generation model indexed for deployment research. Estimated minimum GPU memory is 16 GB. It is publicly listed on Hugging Face.

↓ 63,226♡ 39
20.0B16 GB+ VRAMapache-2.0
Deployment details →
text-to-image

leejet/Z-Image-Turbo-GGUF

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

↓ 63,222♡ 60
Unknown12 GB+ VRAMapache-2.0
Deployment details →
token-classification

urchade/gliner_multi-v2.1

urchade/gliner_multi-v2.1 is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 63,064♡ 171
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

unsloth/gemma-4-26B-A4B-it-NVFP4

unsloth/gemma-4-26B-A4B-it-NVFP4 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.

↓ 63,049♡ 22
26.0B64 GB+ VRAMapache-2.0
Deployment details →
general AI

anuashok/ocr-captcha-v3

anuashok/ocr-captcha-v3 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 63,039♡ 42
Unknown8 GB+ VRAMapache-2.0
Deployment details →
depth-estimation

depth-anything/DA3-SMALL

depth-anything/DA3-SMALL is a depth estimation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 62,861♡ 22
Unknown8 GB+ VRAMapache-2.0
Deployment details →
zero-shot-image-classification

google/siglip-base-patch16-256

google/siglip-base-patch16-256 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.

↓ 62,767♡ 12
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

openbmb/MiniCPM-V-4.6-BNB

openbmb/MiniCPM-V-4.6-BNB 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.

↓ 62,656♡ 6
Unknown8 GB+ VRAMapache-2.0
Deployment details →
token-classification

boltuix/NeuroBERT-NER

boltuix/NeuroBERT-NER is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 62,655♡ 27
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

microsoft/phi-1_5

microsoft/phi-1_5 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 62,590♡ 1,363
Unknown8 GB+ VRAMmit
Deployment details →