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AI モデル 84759

• Kwaipilot.KwaiCoder-DS-V2-Lite-Base-GGUF↗

  csabakecskemeti

• GLM-5.3-Flash-dealignai-orcarouter-merge↗

  Cypherfox

• Elbaz-NVIDIA-Nemotron-3-Nano-30B-A3B-PRISM↗

  Ex0bit

• data2vec-vision-base-ft1k↗

  facebook

• mms-tts-azg↗

  facebook

• mms-tts-bem↗

  facebook

• qwen-3.8-for-1080-8gb↗

  gat45

• paligemma-3b-ft-aokvqa-da-224↗

  Google

• t5-efficient-small-el4↗

  Google

• t5-v1_1-large↗

  Google

  T5 Version 1.1 includes the following improvements compared to the original T5 model- GEGLU activation in feed-forward hidden layer, rather than ReLU - see here. **Note**: T5 Version 1.1 was only pre-trained on C4 excluding any supervised training. Therefore, this model has to be fine-tuned before it is useable on a downstream task. Pretraining Dataset: C4 Authors: *Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, Peter J. Liu*