202,823 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
sshleifer/tiny-gpt2 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
Helsinki-NLP/opus-mt-nl-en is a translation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
cardiffnlp/twitter-xlm-roberta-base-sentiment is a text classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
NbAiLab/nb-wav2vec2-1b-bokmaal-v2 is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.
datalab-to/surya-ocr-2-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.
Qwen/Qwen3-Reranker-0.6B is a text ranking model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
lmstudio-community/gemma-4-E4B-it-MLX-4bit is a any to any model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
microsoft/table-transformer-structure-recognition is a object detection model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
gagan3012/wav2vec2-xlsr-nepali is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
ibm-research/PowerMoE-3b is a text generation model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
sentence-transformers/distiluse-base-multilingual-cased-v2 is a sentence similarity model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
Qwen/Qwen3-30B-A3B-Instruct-2507 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.
jinaai/jina-reranker-v2-base-multilingual is a text ranking model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
microsoft/layoutlmv3-base is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-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.
Qdrant/all-MiniLM-L6-v2-onnx is a sentence similarity model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
k2-fsa/OmniVoice is a text to speech model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
lmstudio-community/gemma-4-E4B-it-MLX-8bit 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-3-270m is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. Access approval is required on Hugging Face.
timm/vit_small_patch14_dinov2.lvd142m is a image feature extraction model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
lmstudio-community/gemma-4-E4B-it-MLX-5bit is a any to any model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
microsoft/wavlm-large is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
lmstudio-community/gemma-4-E4B-it-MLX-6bit is a any to any model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
BAAI/bge-large-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.