google/tipsv2-so400m14
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.
2,499,645 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
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.
trl-internal-testing/tiny-LlavaForConditionalGeneration 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.
google/gemma-2-2b-it is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. Access approval is required 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.
RadixArk/Qwen3.8-27B-DSpark is a text generation model indexed for deployment research. Estimated minimum GPU memory is 64 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.
Comfy-Org/HunyuanVideo_repackaged is a AI workload 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.
nvidia/parakeet-tdt-0.6b-v2 is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 4 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.
meta-llama/Llama-3.3-70B-Instruct is a text generation model indexed for deployment research. Estimated minimum GPU memory is 192 GB. Access approval is required 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.
optimum-intel-internal-testing/tiny-random-t5 is a AI workload 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.
Intel/Qwen3.5-122B-A10B-int4-AutoRound is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 96 GB. It is publicly listed on Hugging Face.
nvidia/nemotron-speech-streaming-en-0.6b is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 4 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.
unslothai/other is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.