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AI 모델 85003

• Huihui-GLM-4.7-Flash-abliterated↗

  huihui-ai

• HunyuanImage-2.1↗

  腾讯

• vitmatte-base-composition-1k↗

  hustvl

  ViTMatte model trained on Composition-1k. It was introduced in the paper ViTMatte: Boosting Image Matting with Pretrained Plain Vision Transformers by Yao et al. and first released in this repository. Disclaimer: The team releasing ViTMatte did not write a model card for this model so this model card has been written by the Hugging Face team. ViTMatte is a simple approach to image matting, the task of accurately estimating the foreground object in an image. The model consists of a Vision Transformer (ViT) with a lightweight head on top.

• GneissWeb.7B_ablation_model_on_350B_GneissWeb.seed2↗

  ibm-granite

• mixtral-instruct-8x7b-quantized-gguf↗

  ikawrakow

• XLM-Roberta-Large-Vit-B-16Plus↗

  immich-app

• beru_custom↗

  jagat334433

• Qwen3-VL-Reranker-2B-NVFP4↗

  jeffpeng3

• opus-mt-zh-en-ct2↗

  jiangzhuo9357

• Mage-VL-GGUF↗

  JohnTdi

  Community GGUF conversion of microsoft/Mage-VL, including Q8_0 and Q4_K_M language backbones plus F16 and Q8_0 Mage-ViT projector weights and native Q8 StreamMind sidecars. *Mage-VL Studio showing a selected time range, static-text OCR, native runtime metrics and representative full-frame Highlights.* **Development disclosure:** code assistance and review were provided by OpenAI GPT-5.6 Sol. Final integration, testing and release decisions were made and verified by the repository maintainer.