HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

985,048 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

text-to-image

leejet/FLUX.2-klein-base-4B-GGUF

leejet/FLUX.2-klein-base-4B-GGUF is a text to image model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.

↓ 1,606♡ 11
4.0B6 GB+ VRAMapache-2.0
Deployment details →
general AI

ibm-granite/granite-4.0-1b-GGUF

ibm-granite/granite-4.0-1b-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 1,604♡ 5
1.0B4 GB+ VRAMapache-2.0
Deployment details →
general AI

smthem/SparkVSR-GGUF

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

↓ 1,603♡ 5
Unknown8 GB+ VRAMmit
Deployment details →
text-generation

keyvan-ai/Mankei-1B-Chat

keyvan-ai/Mankei-1B-Chat is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 1,601♡ 1
1.0B4 GB+ VRAMapache-2.0
Deployment details →
text-generation

IvmeLabs/Ivme-Conversate-XL-v1.1-Base

IvmeLabs/Ivme-Conversate-XL-v1.1-Base is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,601♡ 1
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

litert-community/Qwen3.5-2B

litert-community/Qwen3.5-2B is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,601♡ 3
2.0B8 GB+ VRAMapache-2.0
Deployment details →
text-generation

xJoePec/checkpoint-8000

xJoePec/checkpoint-8000 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,600♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

simpledirect/Vinci-Prova-7B-1.0

simpledirect/Vinci-Prova-7B-1.0 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

↓ 1,600♡ 2
7.0B24 GB+ VRAMapache-2.0
Deployment details →
text-generation

ATH-MaaS/Marco-Nano-Instruct

ATH-MaaS/Marco-Nano-Instruct is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,599♡ 42
Unknown8 GB+ VRAMapache-2.0
Deployment details →