2,601,852 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
Qwen/Qwen-Image-2512 is a text to image model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
MaziyarPanahi/Yi-1.5-6B-Chat-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.
Qdrant/bge-small-zh-v1.5 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
ZhengPeng7/BiRefNet_HR is a image segmentation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
Systran/faster-distil-whisper-large-v3 is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
abhinand/MedEmbed-large-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.
openmmlab-community/mm_grounding_dino_large_all 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.
PaddlePaddle/PP-OCRv6_medium_det_onnx is a image to text model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
tasksource/ModernBERT-base-nli is a zero shot classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
xinsir/controlnet-canny-sdxl-1.0 is a text to image model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
Alibaba-NLP/E2Rank-8B is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
richarrrddd/lama_testing.ptl is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
stelterlab/Qwen3-Coder-30B-A3B-Instruct-AWQ is a text generation model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.
unsloth/Qwen3-Next-80B-A3B-Instruct-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 64 GB. It is publicly listed on Hugging Face.
inclusionAI/Ling-3.0-tiny-int4 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
CohereLabs/North-Micro-Vision-Instruct 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.
Wan-AI/Wan2.1-T2V-1.3B is a text to video model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.
baidu/ERNIE-4.5-21B-A3B-Thinking is a text generation model indexed for deployment research. Estimated minimum GPU memory is 48 GB. It is publicly listed on Hugging Face.
lmstudio-community/Qwen3-4B-Instruct-2507-MLX-8bit is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
billatsectorflow/stella_en_400M_v5 is a sentence similarity model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
bartowski/SmolLM2-135M-Instruct-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
AtomicChat/Ornith-1.5-9B-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.
dima806/deepfake_vs_real_image_detection is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
speechbrain/emotion-recognition-wav2vec2-IEMOCAP is a audio classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.