HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

961,048 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

general AI

mradermacher/GemPT-26B-A4B-i1-GGUF

mradermacher/GemPT-26B-A4B-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

↓ 1,694♡ 0
26.0B24 GB+ VRAMapache-2.0
Deployment details →
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 →
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 →
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

Mungert/VibeThinker-1.5B-GGUF

Mungert/VibeThinker-1.5B-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 1,687♡ 4
1.5B4 GB+ VRAMmit
Deployment details →
text-generation

tabularisai/Qwen3-0.3B-distil

tabularisai/Qwen3-0.3B-distil is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 1,687♡ 2
300M4 GB+ VRAMapache-2.0
Deployment details →
text-generation

vvsotnikov/Qwen3.8-27B-MTP-MLX-bf16

vvsotnikov/Qwen3.8-27B-MTP-MLX-bf16 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 64 GB. It is publicly listed on Hugging Face.

↓ 1,686♡ 2
27.0B64 GB+ VRAMapache-2.0
Deployment details →
general AI

DreamEternal/MinerU-Popo

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

↓ 1,685♡ 5
Unknown8 GB+ VRAMmit
Deployment details →