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AI 模型 84759

• acoustic-acestep1.5-v1↗

  ryanontheinside

• absolute-harmfulness-predictor-redteam↗

  safepaca

  This model is a fine-tuned version of microsoft/deberta-v3-large on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.1197 - Mse: 1.1197 The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 8 - eval_batch_size: 4 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 32 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: constant - num_epochs: 1.0

• Lily-Cybersecurity-7B-v0.2↗

  segolilylabs

• Qwen3.8-9B-mlx-8Bit↗

  SiddhJagani

• Llama-3.1-8B-Lexi-Uncensored-V2-heretic-GGUF↗

  Spaceballs

• DeepSeek-V4.1-Flash-1017-abliterated-pqhaz-lecore-vq11cal-GGUF↗

  staccs

• flan-t5-small-finetuned-squad↗

  TARUNBHATT

• Qwen3.8-27B-W4A16-AWQ↗

  ThakiCloud

• Mistral-ClaudeLimaRP-v3-7B-GGUF↗

  TheBloke

• Solus-70B-L2-GGUF↗

  TheBloke