전체 검색

AI 모델 84759

• SEMA_7_0_Qwen2.5-3B-Instruct_on_Llama8B↗

  fmmarkmq

• ita-latn-100mb-after-ppt-Dp-10mb-packed-bfdiso-ckpt500_seed455↗

  francesca9805

• GENERator-eukaryote-3b-base↗

  GenerTeam

• efficientnet-b7↗

  Google

  EfficientNet model trained on ImageNet-1k at resolution 600x600. It was introduced in the paper EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks by Mingxing Tan and Quoc V. Le, and first released in this repository. Disclaimer: The team releasing EfficientNet did not write a model card for this model so this model card has been written by the Hugging Face team. EfficientNet is a mobile friendly pure convolutional model (ConvNet) that proposes a new scaling method that uniformly scales all dimensions of depth/width/resolution using a simple yet highly effective compound coefficient.

• gemma-3-1b-it-qat-q4_0-gguf↗

  Google

• t5-efficient-large-nl32↗

  Google

• opus-mt-tc-big-gmq-en↗

  Helsinki-NLP

• gliner-guard-uniencoder↗

  hivetrace

• CantoneseLLM-v2.0-30B-A3B-Thinking↗

  hon9kon9ize

• Wan-Alpha_ComfyUI↗

  htdong