HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

1,163,035 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

general AI

cstr/text-super-resolution-gguf

cstr/text-super-resolution-gguf is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 2,204♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

bsaleh03/Qwen3.8-27B-ASCII-Condensed

bsaleh03/Qwen3.8-27B-ASCII-Condensed is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

↓ 2,203♡ 12
27.0B24 GB+ VRAMapache-2.0
Deployment details →
text-generation

Avesed/Qwen3.6-35B-A3B-INT8-W8A8

Avesed/Qwen3.6-35B-A3B-INT8-W8A8 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 48 GB. It is publicly listed on Hugging Face.

↓ 2,202♡ 3
35.0B48 GB+ VRAMapache-2.0
Deployment details →
general AI

PulpBio/LUNA

PulpBio/LUNA is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 2,201♡ 6
Unknown8 GB+ VRAMcc-by-nd-4.0
Deployment details →
image-feature-extraction

CaicedoLab/MorphEm

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

↓ 2,201♡ 2
Unknown8 GB+ VRAMmit
Deployment details →
text-generation

schsu/Qwen3.8-9B-MLX-MXFP4

schsu/Qwen3.8-9B-MLX-MXFP4 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

↓ 2,200♡ 1
9.0B24 GB+ VRAMapache-2.0
Deployment details →
reinforcement-learning

mradermacher/Maincoder-1B-GGUF

mradermacher/Maincoder-1B-GGUF is a reinforcement learning model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 2,199♡ 0
1.0B4 GB+ VRAMapache-2.0
Deployment details →
feature-extraction

yjoonjang/splade-ko-v1

yjoonjang/splade-ko-v1 is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 2,199♡ 17
Unknown4 GB+ VRAMapache-2.0
Deployment details →
general AI

cyanelis/ElisNovel-V3-32B

cyanelis/ElisNovel-V3-32B is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

↓ 2,198♡ 2
32.0B24 GB+ VRAMapache-2.0
Deployment details →
text-generation

prithivMLmods/VibeThinker-3B-GGUF

prithivMLmods/VibeThinker-3B-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 2,197♡ 73
3.0B4 GB+ VRAMmit
Deployment details →
text-generation

t-tech/T-pro-it-2.0

t-tech/T-pro-it-2.0 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 2,195♡ 129
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI

xFutureTechx/SD15-June-JulyBackups2023

xFutureTechx/SD15-June-JulyBackups2023 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 2,195♡ 3
Unknown8 GB+ VRAMcreativeml-openrail-m
Deployment details →
text-generation

Doses-AI/Pestle-27B-Ternary-GGUF

Doses-AI/Pestle-27B-Ternary-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

↓ 2,195♡ 13
27.0B24 GB+ VRAMapache-2.0
Deployment details →
voice-activity-detection

videosdk-live/Namo-Turn-Detector-v1-English

videosdk-live/Namo-Turn-Detector-v1-English is a voice activity detection model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 2,194♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →