HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

1,618,987 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

text-to-speech

hotdogs/omnivoice-thai

hotdogs/omnivoice-thai is a text to speech model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,884♡ 18
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI

nvidia/Cosmos3-Edge-Policy-DROID

nvidia/Cosmos3-Edge-Policy-DROID is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,884♡ 10
Unknown8 GB+ VRAMother
Deployment details →
text-generation

QuantTrio/DeepSeek-V3.2-Exp-AWQ

QuantTrio/DeepSeek-V3.2-Exp-AWQ is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,883♡ 4
Unknown8 GB+ VRAMmit
Deployment details →
feature-extraction

ragavsachdeva/magi

ragavsachdeva/magi is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 1,882♡ 57
Unknown4 GB+ VRAMLicense unknown
Deployment details →
automatic-speech-recognition

cstr/parakeet-tdt-0.6b-ja-GGUF

cstr/parakeet-tdt-0.6b-ja-GGUF is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 1,881♡ 1
600M4 GB+ VRAMcc-by-4.0
Deployment details →
general AI

lm-kit/qwen-3-1.7b-instruct-gguf

lm-kit/qwen-3-1.7b-instruct-gguf is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 1,880♡ 4
1.7B4 GB+ VRAMapache-2.0
Deployment details →
text-to-speech

KEYHAN-A/aava-tts-persian-3b

KEYHAN-A/aava-tts-persian-3b is a text to speech model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 1,880♡ 4
3.0B4 GB+ VRAMapache-2.0
Deployment details →
feature-extraction

tencent/WeMM-Embedding-4B

tencent/WeMM-Embedding-4B is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.

↓ 1,880♡ 32
4.0B12 GB+ VRAMother
Deployment details →
text-generation

Mungert/MiroThinker-v1.5-30B-GGUF

Mungert/MiroThinker-v1.5-30B-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

↓ 1,879♡ 1
30.0B24 GB+ VRAMmit
Deployment details →