2,405,302 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
mradermacher/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-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.
ornith-ai/Ornith-1.5-397B-NVFP4 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 256 GB. It is publicly listed on Hugging Face.
TrevorJS/gemma-4-31B-it-uncensored is a text generation model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.
unsloth/Qwen3.5-2B-GGUF is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
HauhauCS/Qwen3.5-122B-A10B-Uncensored-HauhauCS-Aggressive is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 96 GB. It is publicly listed on Hugging Face.
google/tipsv2-so400m14 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.
mradermacher/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-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.
lmstudio-community/DeepSeek-R1-0528-Qwen3-8B-MLX-4bit is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
microsoft/Phi-4-multimodal-instruct is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
microsoft/VibeVoice-Realtime-0.5B is a text to speech model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
infly/Infinity-Parser2-Pro 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.
ornith-ai/Ornith-1.5-35B-A3B is a text generation model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.
hotchpotch/japanese-reranker-xsmall-v2 is a text ranking model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
culturerevolt/gemma-4-12b-heretic-abliterated-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
ggml-org/Qwen3.6-35B-A3B-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.
cl-nagoya/ruri-v3-30m is a sentence similarity model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
AtomicChat/Ling-3.0-flash-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
ai-sage/GigaChat3.1-Audio-10B-A1.8B is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
cross-encoder/nli-MiniLM2-L6-H768 is a zero shot classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
sentence-transformers/bert-base-nli-mean-tokens is a sentence similarity model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
HuggingFaceBio/Carbon-3B-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
FastFlowLM/GPT-OSS-20B-NPU2 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 48 GB. It is publicly listed on Hugging Face.
cyankiwi/gemma-4-31B-it-AWQ-4bit 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.
OpenMed/OpenMed-NER-PharmaDetect-SuperClinical-434M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.