2,651,849 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
bullerwins/FLUX.1-Kontext-dev-GGUF is a image to image model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
internlm/internlm-chat-7b is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
DevQuasar-13/THUDM.GLM-Z1-32B-0414-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
tue-mps/coco_panoptic_eomt_large_640 is a image segmentation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
unsloth/Llama-3.2-3B-Instruct-unsloth-bnb-4bit is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
alibaba-pai/MiniMax-H3-Acc-LoRAs is a text to video model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
seara/rubert-base-cased-russian-sentiment is a text classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
PaddlePaddle/PP-OCRv6_medium_rec is a image to text model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
openai/whisper-large-v2 is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
unsloth/Llama-3.2-3B is a text generation model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
timm/levit_256.fb_dist_in1k is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
Xenova/bge-small-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.
nlpai-lab/KoE5 is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
meshllm/gemma-4-E4B-it-Q4_K_M-layers is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
Comfy-Org/TRELLIS.2 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
ibm-granite/granite-embedding-english-r2 is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
trl-internal-testing/tiny-Qwen3MoeForSequenceClassification is a text classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
dragonkue/BGE-m3-ko is a sentence similarity model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
ByteDance-Seed/Seed-OSS-36B-Instruct is a text generation model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.
MaziyarPanahi/Meta-Llama-3.1-405B-Instruct-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 256 GB. It is publicly listed on Hugging Face.
mudler/magpie-tts.cpp-gguf is a text to speech model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
facebook/dinov2-with-registers-large is a image feature extraction model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
trl-internal-testing/tiny-DiffusionGemmaForBlockDiffusion 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.