2,437,299 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
google/gemma-3-12b-it is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 32 GB. Access approval is required on Hugging Face.
facebook/PE-Core-L14-336 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.
Comfy-Org/gemma-4 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
LiquidAI/LFM2.5-230M-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
bartowski/Qwen_Qwen3.5-4B-GGUF is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.
vidore/colqwen2-v1.0 is a visual document retrieval model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
Jackrong/Qwopus3.6-27B-Coder-Compat-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.
videosdk-live/Namo-Turn-Detector-v1-Korean is a voice activity detection model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
unsloth/gemma-4-E2B-it-NVFP4 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.
facebook/dinov3-vits16-pretrain-lvd1689m is a image feature extraction model indexed for deployment research. Estimated minimum GPU memory is 8 GB. Access approval is required on Hugging Face.
Jackrong/Qwen3.5-9B-DeepSeek-V4-Flash-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.
mistralai/Mistral-7B-v0.1 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
nvidia/MiniMax-M2.5-NVFP4 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
tvall43/Qwen3.6-14B-A3B-FableVibes-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
TimKond/S-PubMedBert-MedQuAD is a sentence similarity model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
microsoft/Florence-2-large 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-ForcedAligner-0.6B is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
ai4bharat/indic-conformer-600m-multilingual is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. Access approval is required on Hugging Face.
bartowski/Qwen3.8-27B-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.
google/gemma-3-27b-it is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 64 GB. Access approval is required on Hugging Face.
z-lab/Qwen3.8-27B-DFlash2-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
FremyCompany/BioLORD-2023 is a sentence similarity model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
ornith-ai/Ornith-1.5-397B is a text generation model indexed for deployment research. Estimated minimum GPU memory is 256 GB. It is publicly listed on Hugging Face.
fastino/gliner2-base-v1 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.