1,185,032 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
EleutherAI/pythia-410m-seed7 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
Mungert/Holo2-30B-A3B-GGUF 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.
KKHYA/llavaqwen3-1.7b-finetune is a text generation model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.
mradermacher/Negentropy-claude-opus-4.7-9B-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.
AtomicChat/Qwen3.6-27B-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
OPI-PIB/PolDense-1B is a sentence similarity model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.
Forturne/Qwen3-Embedding-0.6B-NVFP4 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
Speech-Arena-2025/DF_Arena_500M_V_1 is a audio classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
cstr/qwen3-tts-1.7b-base-GGUF is a text to speech model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
AETHORIA-AI/TR-HASH-MOE-500M-HF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
mradermacher/iCoder-27B-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.
jinaai/jina-embeddings-v5-text-small-clustering is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
mradermacher/gemma-4-26B-A4B-it-Uncensored-MAX-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.
krea/Krea-2-LoRA-retroanime is a text to image model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
nerkyor/Qwen3.6-27B-DSV4Pro-Thinking-Distill-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
esatapedico/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-NVFP4-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
profpeng/nsfwv2 is a text to image model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
DGurgurov/OpenThinker3-7B-SFT-GRPO-DE is a reinforcement learning model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
Mungert/NextCoder-7B-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
Chungulus/Qwen3.8-27B-GPTQ-INT4-G32 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.
mradermacher/Phi-4-Mini-Instruct-Obliterated-zero-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.
onnx-internal-testing/tiny-random-LlamaForCausalLM-ONNX_external is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
mradermacher/AmberChat-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.
codefuse-ai/F2LLM-v2-160M is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.