HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

1,067,041 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

summarization

mradermacher/turbo-ai-7b-i1-GGUF

mradermacher/turbo-ai-7b-i1-GGUF is a summarization model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,438♡ 2
7.0B8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

armandosds/gemma-4-E4B-it-GGUF

armandosds/gemma-4-E4B-it-GGUF is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,438♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

Chungulus/Qwen3.8-27B-IMATRIX-GGUF

Chungulus/Qwen3.8-27B-IMATRIX-GGUF is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

↓ 1,438♡ 2
27.0B24 GB+ VRAMapache-2.0
Deployment details →
text-generation

mhd-rahman/ArmanNN-Base

mhd-rahman/ArmanNN-Base is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,438♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

bartowski/CogEvol_CogEvol-4B-GGUF

bartowski/CogEvol_CogEvol-4B-GGUF is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.

↓ 1,438♡ 1
4.0B6 GB+ VRAMapache-2.0
Deployment details →
object-detection

mradermacher/LibreGemma4e2b-i1-GGUF

mradermacher/LibreGemma4e2b-i1-GGUF is a object detection model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,437♡ 1
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI

Isi99999/Wan2.1BasedModels

Isi99999/Wan2.1BasedModels is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,436♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI

RedHatAI/Kimi-K3-speculator.dspark

RedHatAI/Kimi-K3-speculator.dspark is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,436♡ 7
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

maglun/Qwen3.8-27B-MLX-Mixed-3.80bpw

maglun/Qwen3.8-27B-MLX-Mixed-3.80bpw 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.

↓ 1,436♡ 5
27.0B64 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

bernhardbrieger/Qwen3.8-27B-GPTQ-Int4

bernhardbrieger/Qwen3.8-27B-GPTQ-Int4 is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

↓ 1,436♡ 1
27.0B24 GB+ VRAMapache-2.0
Deployment details →
text-to-video

aivedha/AgniVedhA

aivedha/AgniVedhA is a text to video model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,435♡ 1
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI

ressl/Ornith-1.0-35B-NVFP4

ressl/Ornith-1.0-35B-NVFP4 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.

↓ 1,435♡ 6
35.0B80 GB+ VRAMmit
Deployment details →
text-generation

yacdev/SomaliLM-150M-Pretrained

yacdev/SomaliLM-150M-Pretrained is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,435♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →