HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

1,546,774 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

image-text-to-text

binedge/dots.mocr-FP8

binedge/dots.mocr-FP8 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.

↓ 1,237♡ 1
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

z-lab/Qwen3.5-9B-PARO

z-lab/Qwen3.5-9B-PARO 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.

↓ 1,237♡ 52
9.0B24 GB+ VRAMapache-2.0
Deployment details →
general AI

mradermacher/Gemopus-4-E4B-it-GGUF

mradermacher/Gemopus-4-E4B-it-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,236♡ 1
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

vcruz305/Hy3-GGUF

vcruz305/Hy3-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,236♡ 18
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

Jagneshdeveloper/Prakrit1.0-7b-small

Jagneshdeveloper/Prakrit1.0-7b-small is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

↓ 1,235♡ 1
7.0B24 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

chriswritescode/Qwen3.8-27B-MXFP8

chriswritescode/Qwen3.8-27B-MXFP8 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.

↓ 1,235♡ 0
27.0B64 GB+ VRAMapache-2.0
Deployment details →
text-generation

mlx-community/GLM-4.7-6bit

mlx-community/GLM-4.7-6bit is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,234♡ 1
Unknown8 GB+ VRAMmit
Deployment details →