188,825 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
Qwen/Qwen2.5-1.5B-Instruct is a text generation model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.
openai/clip-vit-large-patch14 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.
Comfy-Org/z_image_turbo is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
Qwen/Qwen3.5-4B 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.
coqui/XTTS-v2 is a text to speech model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
Qwen/Qwen3.6-27B-FP8 is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 64 GB. It is publicly listed on Hugging Face.
distilbert/distilbert-base-uncased is a fill mask model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
intfloat/multilingual-e5-large is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
Qwen/Qwen3.8-27B-FP8 is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 64 GB. It is publicly listed on Hugging Face.
farbodtavakkoli/OTel-2.0-LLM-31B-IT is a text generation model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.
openai/whisper-large-v3-turbo is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
intfloat/multilingual-e5-base is a sentence similarity model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
Qwen/Qwen3.8-27B is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 64 GB. It is publicly listed on Hugging Face.
openai/gpt-oss-20b is a text generation model indexed for deployment research. Estimated minimum GPU memory is 48 GB. It is publicly listed on Hugging Face.
Qwen/Qwen2.5-0.5B-Instruct is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
pyannote/wespeaker-voxceleb-resnet34-LM 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-small-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.
Qwen/Qwen3-4B is a text generation model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
autogluon/chronos-bolt-small is a time series forecasting model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
FacebookAI/roberta-large is a fill mask model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
meta-llama/Llama-3.2-1B-Instruct is a text generation model indexed for deployment research. Estimated minimum GPU memory is 6 GB. Access approval is required on Hugging Face.
Qwen/Qwen2.5-3B-Instruct is a text generation model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
autogluon/chronos-2-small is a time series forecasting model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
cross-encoder/ms-marco-MiniLM-L4-v2 is a text ranking model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.