HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

1,922,943 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

image-feature-extraction

UCSC-VLAA/openvision-vit-base-patch16-384

UCSC-VLAA/openvision-vit-base-patch16-384 is a image feature extraction model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 997♡ 3
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI

mradermacher/Rearank-7B-i1-GGUF

mradermacher/Rearank-7B-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 997♡ 1
7.0B8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

cyankiwi/Qwen3.5-9B-AWQ-INT8-INT4

cyankiwi/Qwen3.5-9B-AWQ-INT8-INT4 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.

↓ 997♡ 3
9.0B8 GB+ VRAMapache-2.0
Deployment details →
text-generation

t-firefly/qwen3-4b-rknn3-rk1828

t-firefly/qwen3-4b-rknn3-rk1828 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.

↓ 997♡ 1
4.0B6 GB+ VRAMapache-2.0
Deployment details →
text-to-speech

nari-labs/Dia2-1B

nari-labs/Dia2-1B is a text to speech model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.

↓ 996♡ 27
1.0B6 GB+ VRAMapache-2.0
Deployment details →
text-generation

ox-ox/Laguna-M.1-MLX-Q3

ox-ox/Laguna-M.1-MLX-Q3 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 996♡ 10
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

infosave/Qwen3.8-27B-cmf

infosave/Qwen3.8-27B-cmf is a text generation model indexed for deployment research. Estimated minimum GPU memory is 64 GB. It is publicly listed on Hugging Face.

↓ 996♡ 2
27.0B64 GB+ VRAMapache-2.0
Deployment details →