2,409,302 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
Kijai/LTX2.3_comfy is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
Qwen/Qwen3.5-122B-A10B is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 256 GB. It is publicly listed on Hugging Face.
protectai/deberta-v3-base-prompt-injection-v2 is a text classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
gabor-hosu/e5-mistral-7b-instruct-bnb-4bit is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
Serveurperso/MiniMax-Music3-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
nvidia/dragon-multiturn-context-encoder is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
nvidia/dragon-multiturn-query-encoder is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
deepseek-ai/DeepSeek-V4-Flash-DSpark is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
laion/CLIP-ViT-B-16-laion2B-s34B-b88K 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.
meta-llama/Meta-Llama-3-8B-Instruct is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. Access approval is required on Hugging Face.
openai/whisper-tiny is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
trl-internal-testing/tiny-Qwen3ForCausalLM is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-NVFP4 is a any to any model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.
trl-internal-testing/tiny-random-LlamaForCausalLM is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
LiquidAI/LFM2.5-2.6B-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
Qdrant/multilingual-e5-large-onnx is a sentence similarity model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-FP8 is a any to any model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.
nvidia/Qwen3.6-27B-NVFP4 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 64 GB. It is publicly listed on Hugging Face.
OBLITERATUS/Qwen3.8-27B-OBLITERATED is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
dots-studio/dots.ocr 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.
Comfy-Org/Pixal3D is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
biohub/ESMC-6B is a fill mask model indexed for deployment research. Estimated minimum GPU memory is 16 GB. It is publicly listed on Hugging Face.
openai-community/gpt2-large is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
gaunernst/gemma-3-27b-it-int4-awq 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.