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AI Models 84759

• Sao10K_-_L3-8B-Stheno-v3.2-gguf↗

  RichardErkhov

• deepseek-r1-8b-abliterated-q4-Q4_K_M-GGUF↗

  RuCoverLAB

• gemma-4-E2B-it-heretic↗

  saidutta69

• tiny-llama-test↗

  seanmor5

• oneformer_coco_swin_large↗

  shi-labs

  OneFormer model trained on the COCO dataset (large-sized version, Swin backbone). It was introduced in the paper OneFormer: One Transformer to Rule Universal Image Segmentation by Jain et al. and first released in this repository. OneFormer is the first multi-task universal image segmentation framework. It needs to be trained only once with a single universal architecture, a single model, and on a single dataset, to outperform existing specialized models across semantic, instance, and panoptic segmentation tasks. OneFormer uses a task token to condition the model on the task in focus, making the architecture task-guided for training, and task-dynamic for inference, all with a single model. You can use this particular checkpoint for semantic, instance and panoptic segmentation. See the model hub to look for other fine-tuned versions on a different dataset.

• MiniCPM5-2B-DSpark-Paretrix↗

  Soulfate24

• Qwen2.5-Coder-0.5B-Instruct-GGUF↗

  ThomasBaruzier

• fasternet_t2.in1k↗

  timm

• resnet33ts.ra2_in1k↗

  timm

• vit_small_patch16_rope_224.naver_in1k↗

  timm