HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

1,936,942 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

general AI

CohereLabs/tiny-aya-global-GGUF

CohereLabs/tiny-aya-global-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,652♡ 32
Unknown8 GB+ VRAMcc-by-nc-4.0
Deployment details →
general AI

mradermacher/Luna_12B_V.3-i1-GGUF

mradermacher/Luna_12B_V.3-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.

↓ 1,652♡ 1
12.0B12 GB+ VRAMLicense unknown
Deployment details →
general AI

kernels-community/deep-gemm

kernels-community/deep-gemm is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,651♡ 2
Unknown8 GB+ VRAMmit
Deployment details →
text-to-image

Emric/Lora_art_style

Emric/Lora_art_style is a text to image model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.

↓ 1,650♡ 1
Unknown12 GB+ VRAMLicense unknown
Deployment details →
text-generation

EleutherAI/pythia-70m-seed8

EleutherAI/pythia-70m-seed8 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,650♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-feature-extraction

timm/vit_so400m_patch14_siglip_224.webli

timm/vit_so400m_patch14_siglip_224.webli is a image feature extraction model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,649♡ 1
Unknown8 GB+ VRAMapache-2.0
Deployment details →
reinforcement-learning

mradermacher/LongWriter-Zero-32B-i1-GGUF

mradermacher/LongWriter-Zero-32B-i1-GGUF is a reinforcement learning model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

↓ 1,649♡ 2
32.0B24 GB+ VRAMapache-2.0
Deployment details →
zero-shot-classification

Xenova/nli-deberta-v3-base

Xenova/nli-deberta-v3-base is a zero shot classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,649♡ 2
Unknown8 GB+ VRAMLicense unknown
Deployment details →