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AI モデル 84759

• SmolLM2-1.7B-Instruct-GGUF↗

  MaziyarPanahi

• Qwen3.5-4B-Safety-Thinking↗

  Merlin-Research

• Phi-3.5-vision-instruct-onnx↗

  Microsoft

• trocr-base-handwritten↗

  Microsoft

  TrOCR model fine-tuned on the IAM dataset. It was introduced in the paper TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models by Li et al. and first released in this repository. Disclaimer: The team releasing TrOCR did not write a model card for this model so this model card has been written by the Hugging Face team. The TrOCR model is an encoder-decoder model, consisting of an image Transformer as encoder, and a text Transformer as decoder. The image encoder was initialized from the weights of BEiT, while the text decoder was initialized from the weights of RoBERTa.

• Qwen3-14B-abliterated↗

  mlabonne

• OvisOCR2-8bit↗

  mlx-community

• Qwen3-Embedding-8B-4bit-DWQ↗

  mlx-community

• A.X-4.0-abliterated-i1-GGUF↗

  mradermacher

• Alice_In_The_Hell-RP-NSFW-3.2-1B-i1-GGUF↗

  mradermacher

• Aya-Medikal-V2-i1-GGUF↗

  mradermacher