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+## Version history
+#### v3.0.0; 2023/10/18
+- Added fast inference for tortoise with hifidecoder(inspired by xtts by [coquiTTS](https://github.com/coqui-ai/TTS) 🐸, check their multi-lingual model)
+#### v2.8.0; 2023/9/13
+- Added custom tokenizer for non-english models
+#### v2.7.0; 2023/7/26
+- Bug fixes
+- Added Apple Silicon Support
+- Updated Transformer version
+#### v2.6.0; 2023/7/26
+- Bug fixes
+
+#### v2.5.0; 2023/7/09
+- Added kv_cache support 5x faster
+- Added deepspeed support 10x faster
+- Added half precision support
+  
+#### v2.4.0; 2022/5/17
+- Removed CVVP model. Found that it does not, in fact, make an appreciable difference in the output.
+- Add better debugging support; existing tools now spit out debug files which can be used to reproduce bad runs.
+
+#### v2.3.0; 2022/5/12
+- New CLVP-large model for further improved decoding guidance.
+- Improvements to read.py and do_tts.py (new options)
+
+#### v2.2.0; 2022/5/5
+- Added several new voices from the training set.
+- Automated redaction. Wrap the text you want to use to prompt the model but not be spoken in brackets.
+- Bug fixes
+
+#### v2.1.0; 2022/5/2
+- Added ability to produce totally random voices.
+- Added ability to download voice conditioning latent via a script, and then use a user-provided conditioning latent.
+- Added ability to use your own pretrained models.
+- Refactored directory structures.
+- Performance improvements & bug fixes.