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AI 모델 84759

• flame-27m-grounded↗

  ifx-pse-sys-ml

• Muse-Glimmer-30B-DFlash2-GGUF↗

  incoai

• MiniCPM5-2B-cmf↗

  infosave

• gemma-3-12b-it-GPTQ-4b-128g↗

  ISTA-DASLab

• Qwen2.5-Coder-14B-Instruct-bnb-4bit-bpmn-react↗

  jojojo154152we

• quinex-context-v0-783M↗

  JuelichSystemsAnalysis

• FLUX.2-klein-9B-turbo-lora-set↗

  kalle07

• flux-fp8↗

  Kijai

  `flux1-dev-fp8.safetensors` is `float8_e4m3fn`, original upload name kept for backwards compatibility. https://huggingface.co/Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro flux1-dev-fp8.safetensors, flux_shakker_labs_union_pro-fp8_e4m3fn and it's variants falls under the [`FLUX.1 [dev]` Non-Commercial License](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md). flux1-schnell-fp8.safetensors falls under the Apache-2.0 License.

• gpt_0.01B_global_step3000_openassistant↗

  kochan13

• ms-eff-gcvit-deepfake-b5-ff-plus-plus↗

  KoreaPeter

  Multi-Scale Efficient Global Context Vision Transformer (MS-EffGCViT) is a hybrid CNN-ViT architecture for **deepfake detection**. It fuses CNN-driven spatial inductive bias with hierarchical global-context attention to catch both *local* artifacts (textures, blending seams) and *global* artifacts (lighting, structural inconsistency). A single architecture ships in two sizes and three domain-tuned checkpoints, working on both **static images** and **video** at the **frame level**. Learning to detect manipulated facial images [[Paper]](https://arxiv.org/abs/1901.08971) [[Download]](https://github.com/ondyari/FaceForensics), featuring **1,000 original YouTube videos** manipulated by 5 face forgery methods.