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AI 모델 85003

• rubert-tiny2-russe-toxicity↗

  BunnyNoBugs

  This model is a fine-tuned version of cointegrated/rubert-tiny2 on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.2087 - Precision Macro: 0.9395 - Recall Macro: 0.9394 - F1 Macro: 0.9394 - F1 Neutral: 0.9398 - F1 Toxic: 0.9390 The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 32 - eval_batch_size: 64 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 10

• roberta-base-indonesian-1.5G↗

  cahya

• audio.cpp-gguf↗

  CaptainArni

  GGUF conversions of music and speech models for audio.cpp, the ggml-based native audio inference framework. \* proposed in audio.cpp#464; until that lands, download the file and point `--model` at its directory. The XL DiT is the larger ACE-Step 1.5 transformer: 32 layers of 2560 against turbo's 24 of 2048, with 32 attention heads of 128. Each file is self-contained the way audio.cpp's other ACE-Step GGUFs are — XL DiT, planner LM, text encoder and VAE in one file — so none of them needs another download.

• gemma-4-E4B-it-OBLITERATED-Q8_0-GGUF↗

  Centara

• Z-Image-Turbo-W4A8↗

  CuTIsolation

• Mistral-7B-Instruct-v0.1-GGUF-fp16↗

  ddh0

• Ornith-1.5-122B-UNCENSORED-NVFP4↗

  dealignai

• wan-2.2-5b-ti2v-gguf-stable-diffusion-cpp↗

  desirel

• Qwen.Qwen2.5-32B-GGUF↗

  DevQuasar-14

• Tiel-Coder-35B-A3B-GGUF-MTP↗

  dotnfc