HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

1,712,977 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

general AI

mradermacher/Qwen3-16B-A3B-i1-GGUF

mradermacher/Qwen3-16B-A3B-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 16 GB. It is publicly listed on Hugging Face.

↓ 1,120♡ 1
16.0B16 GB+ VRAMapache-2.0
Deployment details →
feature-extraction

ta012/SSLAM_pretrain

ta012/SSLAM_pretrain is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 1,120♡ 1
Unknown4 GB+ VRAMmit
Deployment details →
text-generation

bartowski/p-e-w_phi-4-heretic-GGUF

bartowski/p-e-w_phi-4-heretic-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,120♡ 3
Unknown8 GB+ VRAMmit
Deployment details →
general AI

mradermacher/NoisyGRPO_7B-i1-GGUF

mradermacher/NoisyGRPO_7B-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.

↓ 1,120♡ 1
7.0B8 GB+ VRAMapache-2.0
Deployment details →
general AI

mradermacher/Sanad-1.0-i1-GGUF

mradermacher/Sanad-1.0-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.

↓ 1,119♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

bartowski/squ11z1_Hypnos-i1-8B-GGUF

bartowski/squ11z1_Hypnos-i1-8B-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,118♡ 4
8.0B8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

tcclaviger/Qwen3.6-27B-MXFP416-MTP

tcclaviger/Qwen3.6-27B-MXFP416-MTP 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.

↓ 1,118♡ 1
27.0B64 GB+ VRAMapache-2.0
Deployment details →