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AI 模型 85003

• Qwen3-Reranker-4B-F16-GGUF↗

  sinjab

• sp1↗

  tao1000

• tigerbot-70B-chat-v2-GGUF↗

  TheBloke

• caformer_b36.sail_in1k↗

  timm

• maxvit_large_tf_384.in1k↗

  timm

• vit_small_patch16_224.augreg_in21k_ft_in1k↗

  timm

  A Vision Transformer (ViT) image classification model. Trained on ImageNet-21k and fine-tuned on ImageNet-1k (with additional augmentation and regularization) in JAX by paper authors, ported to PyTorch by Ross Wightman. - **Model Type:** Image classification / feature backbone - **Model Stats:** - Params (M): 22.1 - GMACs: 4.3 - Activations (M): 8.2 - Image size: 224 x 224 - **Papers:** - How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers: https://arxiv.org/abs/2106.10270 - An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale: https://arxiv.org/abs/2010.11929v2 - **Dataset:** ImageNet-1k - **Pretrain Dataset:** ImageNet-21k - **Original:** https://github.com/google-research/vision_transformer Explore the dataset and runtime metrics of this model in timm model results.

• toxigen_roberta↗

  tomh

  This model comes from the paper ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection and can be used to detect implicit hate speech.

• gemma-4-E4B-it-uncensored↗

  TrevorJS

• SapBERT-from-PubMedBERT-fulltext_bf16↗

  UMCU

• Qwen3VL-8B-Uncensored-HauhauCS-Aggressive↗

  Unrestricted