2,784,620 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
dbmdz/bert-base-italian-uncased is a fill mask model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
knowledgator/gliner-pii-large-v1.0 is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
Chungulus/Qwen3.8-27B-Q3_K_L-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.
hotchpotch/bekko-embedding-v1-a25m is a sentence similarity model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
weareapexcreators/Qwen3.5-2B-MTP-LocalAI is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-ZeroShot-NER-Chemical-Small-166M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
cross-encoder/msmarco-MiniLM-L6-en-de-v1 is a text ranking model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
openbmb/MiniCPM5-1B-SFT is a text generation model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.
syssec-utd/py312-pylingual-v1-statement is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
Stable-X/stable-normal-v0-1 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
unsloth/Ministral-3-14B-Instruct-2512-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
mlx-community/Qwen2.5-7B-Instruct-4bit is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
fakespot-ai/roberta-base-ai-text-detection-v1 is a text classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
NetherlandsForensicInstitute/robbert-2022-dutch-sentence-transformers is a sentence similarity model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
EuroBERT/EuroBERT-610m is a fill mask model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
QuantStack/Qwen-Image-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.
Comfy-Org/Chroma1-HD_repackaged is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
huihui-ai/Huihui-Qwen3.5-9B-abliterated 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.
tlennon-ie/qwen-edit-skin is a image to image model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
Nanbeige/Nanbeige4.1-3B is a text generation model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
weareapexcreators/Gemma-4-E2B-it-LocalAI is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
monologg/kobert is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
huginnfork/Qwen3.8-27B-FP8 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.
langfeng01/GiGPO-Qwen2.5-7B-Instruct-WebShop is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.