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AI モデル 84760

• 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.

• AMALIA-9B-0626-SFT-GGUF↗

  layerx-labs

• c66-h26↗

  ld9466311

• Phi-4-reasoning-plus-GGUF↗

  lmstudio-community

  *👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*. **Model creator:** microsoft **Original model**: Phi-4-reasoning-plus **GGUF quantization:** provided by bartowski based on `llama.cpp` release b5228 Additionally trained with Reinforcement Learning for higher accuracy but generates on average 50% more tokens

• regex-sft-qwen3-0.6b-onnx↗

  maximedubourg

• Mistral-7B-claude-instruct-Mistral-7B-Instruct-v0.2-slerp-GGUF↗

  MaziyarPanahi

• mistral-ft-optimized-1218-GGUF↗

  MaziyarPanahi

• rank_zephyr_7b_v1_full-GGUF↗

  MaziyarPanahi

• Tess-XS-v1-3-yarn-128K-Mistral-7B-Instruct-v0.2-slerp-GGUF↗

  MaziyarPanahi

• tinymixtral-v1.1-1b↗

  mikecovlee