HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

1,077,041 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

text-generation

AtomicChat/gemma-4-E2B-it-GGUF

AtomicChat/gemma-4-E2B-it-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,423♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

prithivMLmods/Camel-Doc-OCR-080125-GGUF

prithivMLmods/Camel-Doc-OCR-080125-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.

↓ 1,422♡ 2
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI

mradermacher/GPT-Z-i1-GGUF

mradermacher/GPT-Z-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.

↓ 1,422♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

coder3101/gemma-4-26B-A4B-it-heretic

coder3101/gemma-4-26B-A4B-it-heretic 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.

↓ 1,421♡ 100
26.0B64 GB+ VRAMapache-2.0
Deployment details →
general AI

sachinn1/xl-durel

sachinn1/xl-durel is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,421♡ 2
Unknown8 GB+ VRAMmit
Deployment details →
text-generation

JetLM/SDAR-8B-Chat

JetLM/SDAR-8B-Chat is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

↓ 1,420♡ 4
8.0B24 GB+ VRAMapache-2.0
Deployment details →
text-generation

strectelite/PebbleGPT-320M

strectelite/PebbleGPT-320M is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,418♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI

kitft/nla-qwen2.5-7b-L20-av

kitft/nla-qwen2.5-7b-L20-av is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

↓ 1,417♡ 7
7.0B24 GB+ VRAMapache-2.0
Deployment details →