1,738,970 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
fdtn-ai/antares-350m is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. Access approval is required on Hugging Face.
mradermacher/Muse-Glimmer-30B-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
mradermacher/Seed-Coder-8B-Reasoning-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.
mradermacher/Helply-10.2b-chat-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
alibaba-pai/Wan2.1-Fun-1.3B-Control is a text to video model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.
mradermacher/Qwen3-Esper3-Reasoning-CODER-Instruct-21B-Brainstorm20x-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 16 GB. It is publicly listed on Hugging Face.
OpenVINO/Qwen3.5-4B-int4-ov 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.
sanskar003/Qwen3.5-4B-NVFP4 is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
johannrplaster/Qwen3.8-27B-Uncensored-int4-AutoRound 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.
madhurjindal/Jailbreak-Detector-Large is a text classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
cross-encoder-testing/reranker-bert-tiny-gooaq-bce-openvino is a text ranking model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
ai-toolkit/wan2.1-vae is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
Mungert/MedScholar-1.5B-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
Kansallisarkisto/multicentury-htr-model is a image to text model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
mradermacher/CAI-20B-v2-i1-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 16 GB. It is publicly listed on Hugging Face.
mradermacher/Pelican1.0-VL-72B-i1-GGUF is a robotics model indexed for deployment research. Estimated minimum GPU memory is 64 GB. It is publicly listed on Hugging Face.
NeuML/biomedbert-small-embeddings is a sentence similarity model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
swiss-ai/Apertus-v1.1-1.5B-Instruct is a text generation model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.
mradermacher/Qwen3.6-27B-AEON-Ultimate-Uncensored-BF16-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
oddadmix/50M-2048-Emhotob is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
mradermacher/TextSynth-8B-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.
mradermacher/Impish_Bloodmoon_12B-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
mradermacher/Dream-v0-Instruct-7B-SM-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.
stanfordnlp/stanza-pt is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.