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AI Models 84760

• whisper-medium-jp↗

  vumichien

  This model is a fine-tuned version of openai/whisper-medium on the common_voice_11_0 dataset. It achieves the following results on the evaluation set: - Loss: 0.3029 - Wer: 9.0355 The following hyperparameters were used during training: - learning_rate: 1e-05 - train_batch_size: 32 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 500 - training_steps: 5000 - mixed_precision_training: Native AMP

• RM-Mistral-7B↗

  weqweasdas

• FLOR-1.3B-Instructed-GGUF↗

  xaviviro

• MiMo-7B-RL-0530↗

  XiaomiMiMo

• tryon-FLUX.2-klein-4B-lora↗

  xocialize

• Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF↗

  Xygjgfy

• Swift-Qwen3.8-27b-oQ4e-mtp↗

  Yanun

• ChessQween3-base-puzzled↗

  zhoudoe23

• gemma-4-26B-A4B-it-UD-Q4_K_M-layers↗

  ashton25549

• safetyvision-yolov8↗

  ayushgupta7777