204,822 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
gabor-hosu/e5-mistral-7b-instruct-bnb-4bit is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
onnx-community/Kokoro-82M-v1.0-ONNX is a text to speech model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
google/gemma-4-31B-it-qat-w4a16-ct 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.
Qwen/Qwen3.5-2B-Base 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.
google/siglip2-so400m-patch14-384 is a zero shot image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
Lorbus/Qwen3.6-27B-int4-AutoRound 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.
amunchet/rorshark-vit-base is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7 is a zero shot classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
BAAI/bge-base-zh-v1.5 is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
EleutherAI/pythia-70m-deduped is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
deepseek-ai/DeepSeek-R1 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
google/siglip2-base-patch16-naflex is a zero shot image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
nlptown/bert-base-multilingual-uncased-sentiment is a text classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
IDEA-Research/grounding-dino-tiny is a zero shot object detection model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
protectai/deberta-v3-base-prompt-injection-v2 is a text classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
nm-testing/SmolLM-1.7B-Instruct-quantized.w4a16 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.
openbmb/MiniCPM-o-4_5 is a any to any model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
google/gemma-4-12B-it-qat-q4_0-gguf is a any to any model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
bartowski/XYZAILab_XYZ-Aquila-mini-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.
ggml-org/gemma-4-E4B-it-GGUF is a any to any model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
cyankiwi/Qwen3.6-35B-A3B-AWQ-4bit is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 32 GB. It is publicly listed on Hugging Face.
Comfy-Org/MiniMax-Music-3 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
Ransaka/sinlib is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
RedHatAI/gemma-4-31B-it-FP8-block is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.