HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

1,654,981 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

general AI

mradermacher/Qwen3-0.6B-Base-GGUF

mradermacher/Qwen3-0.6B-Base-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 1,815♡ 2
600M4 GB+ VRAMapache-2.0
Deployment details →
audio-to-audio

jhcodec/jhcodec

jhcodec/jhcodec is a audio to audio model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,815♡ 4
Unknown8 GB+ VRAMmit
Deployment details →
general AI

nvidia/Kimodo-SOMA-RP-v1

nvidia/Kimodo-SOMA-RP-v1 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,814♡ 62
Unknown8 GB+ VRAMother
Deployment details →
image-text-to-text

z-lab/Qwen3.6-35B-A3B-PARO

z-lab/Qwen3.6-35B-A3B-PARO is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.

↓ 1,814♡ 9
35.0B80 GB+ VRAMapache-2.0
Deployment details →
text-generation

NANI-Nithin/MiniCPM5-1B-GGUF

NANI-Nithin/MiniCPM5-1B-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 1,814♡ 1
1.0B4 GB+ VRAMLicense unknown
Deployment details →
automatic-speech-recognition

handy-computer/moonshine-base-gguf

handy-computer/moonshine-base-gguf is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,813♡ 0
Unknown8 GB+ VRAMmit
Deployment details →
general AI

Peutlefaire/Qwen3.6-27B-NVFP4

Peutlefaire/Qwen3.6-27B-NVFP4 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 64 GB. It is publicly listed on Hugging Face.

↓ 1,812♡ 5
27.0B64 GB+ VRAMapache-2.0
Deployment details →