HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

1,666,979 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

text-generation

mattritchey/next-1b-Q4_K_M-GGUF

mattritchey/next-1b-Q4_K_M-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 1,163♡ 0
1.0B4 GB+ VRAMmit
Deployment details →
image-text-to-text

mradermacher/ToriiGate-v0.4-7B-i1-GGUF

mradermacher/ToriiGate-v0.4-7B-i1-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.

↓ 1,160♡ 3
7.0B8 GB+ VRAMapache-2.0
Deployment details →
text-generation

Mungert/Qwen3-4B-GGUF

Mungert/Qwen3-4B-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.

↓ 1,160♡ 8
4.0B6 GB+ VRAMapache-2.0
Deployment details →
general AI

mradermacher/Arcee-VyLinh-i1-GGUF

mradermacher/Arcee-VyLinh-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.

↓ 1,160♡ 1
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI

totoku/apex-models

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

↓ 1,160♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI

mradermacher/Todo-14B-i1-GGUF

mradermacher/Todo-14B-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.

↓ 1,160♡ 1
14.0B12 GB+ VRAMapache-2.0
Deployment details →
text-to-image

Hippotes/Qwen-Image-2512-quants

Hippotes/Qwen-Image-2512-quants is a text to image model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.

↓ 1,160♡ 18
Unknown12 GB+ VRAMapache-2.0
Deployment details →