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2.2.0
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@FontaineRiant FontaineRiant released this 22 Mar 13:41
· 84 commits to pytorch-transformers since this release
2.2.0
3d2b0e5
  • Hard limit on vRAM usage (by limiting history) for 24GB AMD GPUs
  • EOS token now determined through tokenizer config rather than model config (some models don't declare it the same way)
  • Forced the tokenizer to add a leading space if it isn't the default behavior for the model (like Mistral)
  • Switched from PyInquirer to InquirerPy, making wrAIter compatible with python 3.10
  • Added ROCm requirements for AMD GPUs
  • Merged short sentences together during TTS to reduce hallucinations.
  • Removed the need for TTS to write temporary audio files to disk, instead everything is played from memory.
  • Better crash handling and story recovery after a crash

Full Changelog: v2.1.0...2.2.0

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