2,349,311 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
unsloth/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.
joeddav/xlm-roberta-large-xnli is a zero shot classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
Qwen/Qwen2.5-0.5B is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
iitolstykh/mivolo_v2 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract is a fill mask model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
pyannote/voice-activity-detection is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. Access approval is required on Hugging Face.
empero-ai/Qwen3.8-35B-A3B-Distill-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 32 GB. It is publicly listed on Hugging Face.
facebook/bart-large-cnn is a summarization 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.
Systran/faster-whisper-small.en is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
ornith-ai/Ornith-1.5-397B-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 256 GB. It is publicly listed on Hugging Face.
remsky/kokoro-inno-clone-tuner is a text to speech model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
autotrust/GEV-26B-Decide is a text classification model indexed for deployment research. Estimated minimum GPU memory is 64 GB. It is publicly listed on Hugging Face.
RedHatAI/gemma-4-26B-A4B-it-FP8-dynamic is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 64 GB. It is publicly listed on Hugging Face.
PekingU/rtdetr_r101vd_coco_o365 is a object detection model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
handy-computer/cohere-transcribe-03-2026-gguf is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
laion/CLIP-ViT-L-14-laion2B-s32B-b82K 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.
jinaai/jina-embeddings-v2-small-en is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
unsloth/Qwen3.6-35B-A3B-MTP-GGUF 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.
zai-org/GLM-5 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
dslim/bert-base-NER is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
ornith-ai/Ornith-1.5-35B-A3B-NVFP4 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-Coder-30B-A3B-Instruct-FP8 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.
Harveenchadha/vakyansh-wav2vec2-tamil-tam-250 is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.