HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

1,930,943 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

image-feature-extraction

UCSC-VLAA/openvision-vit-small-patch16-224

UCSC-VLAA/openvision-vit-small-patch16-224 is a image feature extraction model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 993♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI

mradermacher/Coma-3B-i1-GGUF

mradermacher/Coma-3B-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 993♡ 0
3.0B4 GB+ VRAMapache-2.0
Deployment details →
image-to-text

mlx-community/GLM-OCR-8bit

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

↓ 993♡ 9
Unknown8 GB+ VRAMmit
Deployment details →
text-generation

z-lab/Qwen3-Coder-30B-A3B-DFlash

z-lab/Qwen3-Coder-30B-A3B-DFlash is a text generation model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.

↓ 993♡ 35
30.0B80 GB+ VRAMmit
Deployment details →
text-generation

protoLabsAI/Agents-A1-NVFP4

protoLabsAI/Agents-A1-NVFP4 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 993♡ 4
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-to-speech

cstr/dia-1.6b-GGUF

cstr/dia-1.6b-GGUF is a text to speech model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 993♡ 0
1.6B4 GB+ VRAMapache-2.0
Deployment details →
general AI

cstr/crispasr-regression-fixtures

cstr/crispasr-regression-fixtures is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 993♡ 1
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

kekzle/Qwen3.8-27B-NVFP4-vllm

kekzle/Qwen3.8-27B-NVFP4-vllm 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.

↓ 993♡ 0
27.0B64 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

WueNLP/centurio_qwen

WueNLP/centurio_qwen 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.

↓ 992♡ 9
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI

mradermacher/Multiverse-32B-GGUF

mradermacher/Multiverse-32B-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

↓ 992♡ 0
32.0B24 GB+ VRAMapache-2.0
Deployment details →
general AI

mradermacher/diffullama-i1-GGUF

mradermacher/diffullama-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.

↓ 992♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →