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AI モデル 84760

• TowerInstruct-Mistral-7B-v0.2-i1-GGUF↗

  mradermacher

• Zhi-Create-DSR1-14B-GGUF↗

  mradermacher

• Qwen3.8-3B-tpu-serve↗

  my-temp

• donut-base-finetuned-docvqa↗

  naver-clova-ix

  Donut model fine-tuned on DocVQA. It was introduced in the paper OCR-free Document Understanding Transformer by Geewok et al. and first released in this repository. Disclaimer: The team releasing Donut did not write a model card for this model so this model card has been written by the Hugging Face team. Donut consists of a vision encoder (Swin Transformer) and a text decoder (BART). Given an image, the encoder first encodes the image into a tensor of embeddings (of shape batch_size, seq_len, hidden_size), after which the decoder autoregressively generates text, conditioned on the encoding of the encoder.

• Gemma-4-Giftige-Blume-31B-v2-GGUF↗

  Nimbz

• Qwen2.5-7B-Instruct_qfilt↗

  nthngdy

• Qwen3.5-4B-MiniFantasy-GGUF↗

  Nubinu

• devanagari_PP-OCRv3_mobile_rec↗

  PaddlePaddle

• dolphin-2.9.4-llama3.1-8b-GGUF↗

  QuantFactory

• Qwen3 Max Thinking↗

  阿里巴巴 · Qwen