HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

1,834,965 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

text-to-speech

cstr/moss-tts-v1.5-GGUF

cstr/moss-tts-v1.5-GGUF is a text to speech model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,692♡ 1
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

SupraLabs/Supra2-Medium-Instruct

SupraLabs/Supra2-Medium-Instruct is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,692♡ 14
Unknown8 GB+ VRAMapache-2.0
Deployment details →
sentence-similarity

sentence-transformers/all-MiniLM-L12-v1

sentence-transformers/all-MiniLM-L12-v1 is a sentence similarity model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 1,691♡ 13
Unknown4 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

Aldaris/gemma-3-4b-it-Q4_K_M-GGUF

Aldaris/gemma-3-4b-it-Q4_K_M-GGUF is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.

↓ 1,691♡ 5
4.0B6 GB+ VRAMgemma
Deployment details →
general AI

chandar-lab/AMPLIFY_120M

chandar-lab/AMPLIFY_120M is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,691♡ 3
Unknown8 GB+ VRAMmit
Deployment details →
general AI

mradermacher/Qwen3-Sex-GGUF

mradermacher/Qwen3-Sex-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,691♡ 3
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI

jetjodh/sam-3d-body-dinov3

jetjodh/sam-3d-body-dinov3 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,689♡ 7
Unknown8 GB+ VRAMother
Deployment details →
token-classification

stanfordnlp/stanza-ar

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

↓ 1,689♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

inclusionAI/Ring-mini-linear-2.0

inclusionAI/Ring-mini-linear-2.0 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,688♡ 89
Unknown8 GB+ VRAMmit
Deployment details →