748,960 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
jashepp/Ornith-1.0-35B-A3B-MXFP4_MOE_Hybrid-Imatrix-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 32 GB. It is publicly listed on Hugging Face.
offgrid-ai/juggernaut-xl-v9-GGUF is a text to image model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
meshllm/DeepSeek-R1-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.
Jtapsa/moep is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
litert-community/Qwen3-1.7B is a text generation model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.
Motif-Technologies/Motif-3-NVFP4 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
BananaMind/BananaMind-2-Nano is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
MaxedOut/ComfyUI-Starter-Packs is a text to image model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
UltimateIntent/HeatSeeker-284B-A13B-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 192 GB. It is publicly listed on Hugging Face.
vimalnakrani/unlimited-ocr-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.
mradermacher/Goetia-26B-A4B-v1.4-LazyLora-heresy-Heretic-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
perplexity-ai/pplx-pii-masking-MLX is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
aaronfeller/peptideclm-2-hybrid-base is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
mradermacher/Qwen3.5-9B-Claude-4.6-Opus-Deckard-V4.2-Uncensored-Heretic-Thinking-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
kyutai/personaplex-rl-seamless is a audio to audio model indexed for deployment research. Estimated minimum GPU memory is 8 GB. Access approval is required on Hugging Face.
pytraveler/MiniMax-H3-Prompt-Rewriter-LoRA-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
meshllm/Kimi-K2.5-UD-Q4_K_XL-layers 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-ColBERT-350M is a sentence similarity model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
reaperdoesntknow/Qemma-Q14B is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
ltg/normistral-7b-warm is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
openeurollm/oellm-9b-256k-sft is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
wangzhang/gemma-4-31B-it-abliterated-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
devehz/MagenticBrain-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
aufklarer/Pyannote-Community-1-CoreML is a audio classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.