2,423,301 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
microsoft/phi-2 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
biohub/ESMFold2-Experimental-Fast-Cutoff2025 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
camenduru/dinov3-vitl16-pretrain-lvd1689m is a image feature extraction model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
meta-llama/Llama-3.2-1B is a text generation model indexed for deployment research. Estimated minimum GPU memory is 6 GB. Access approval is required on Hugging Face.
AEON-7/Qwen3.6-35B-A3B-heretic-NVFP4 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.
lmstudio-community/Qwen3.5-9B-MLX-8bit is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
sentence-transformers/all-roberta-large-v1 is a sentence similarity model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
unsloth/gemma-4-E2B-it-qat-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.
Qwen/Qwen3-Omni-30B-A3B-Instruct is a any to any model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.
Lightricks/LTX-2.3-fp8 is a image to video model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
google/gemma-2-9b-it is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. Access approval is required on Hugging Face.
apple/OpenELM-1_1B-Instruct is a text generation model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.
llamafactory/tiny-random-Llama-3 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
lmstudio-community/Qwen3.5-9B-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
Salesforce/blip-image-captioning-large is a image to text model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
huihui-ai/Huihui-DeepSeek-V4-Flash-0731-abliterated-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
google/gemma-4-26B-A4B-it-qat-q4_0-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.
PaddlePaddle/PaddleOCR-VL-1.6-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
Qwen/Qwen3-Coder-30B-A3B-Instruct is a text generation model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.
Qwen/Qwen3.5-4B-Base is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
lxyuan/distilbert-base-multilingual-cased-sentiments-student is a text classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
google/gemma-4-E4B is a any to any model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
RedHatAI/gemma-4-12B-it-FP8-Dynamic is a any to any model indexed for deployment research. Estimated minimum GPU memory is 32 GB. It is publicly listed on Hugging Face.
RamManavalan/Qwen3-VL-Embedding-8B-FP8 is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.