HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

1,674,979 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

general AI

mradermacher/MemoBrain-8B-i1-GGUF

mradermacher/MemoBrain-8B-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.

↓ 1,152♡ 0
8.0B8 GB+ VRAMapache-2.0
Deployment details →
general AI

mradermacher/F2LLM-v2-4B-GGUF

mradermacher/F2LLM-v2-4B-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.

↓ 1,152♡ 3
4.0B6 GB+ VRAMapache-2.0
Deployment details →
text-generation

aisingapore/SEA-LION-v1-7B-IT

aisingapore/SEA-LION-v1-7B-IT is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

↓ 1,152♡ 24
7.0B24 GB+ VRAMmit
Deployment details →
object-detection

mosesb/best-comic-panel-detection

mosesb/best-comic-panel-detection is a object detection model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,151♡ 15
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-to-image

feeday/Z-Image-Turbo-GGUF

feeday/Z-Image-Turbo-GGUF is a text to image model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.

↓ 1,151♡ 1
Unknown12 GB+ VRAMapache-2.0
Deployment details →
text-generation

FastFlowLM/Qwen3-0.6B-NPU2

FastFlowLM/Qwen3-0.6B-NPU2 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 1,151♡ 0
600M4 GB+ VRAMapache-2.0
Deployment details →
text-generation

apodex/Apodex-1.1-mini-GPTQ-Int4

apodex/Apodex-1.1-mini-GPTQ-Int4 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,151♡ 18
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

svc-nai-cci/nanollama-public

svc-nai-cci/nanollama-public is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,150♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →