# Release Notes

## MindSpore Golden Stick 0.5.0 Release Notes

### Major Features and Improvements

* [DEMO] Added post-training quantization W8A8 algorithm `SmoothQuant` mainly for Llama2 network.

### API Change

* Added `kwargs` to `apply` api of `CompAlgo` class as extensible parameter for subclasses.
* Added `NetworkHelper` abstract class as adapter for decoupling between algorithm and framework.
* Added `MFLlama2Helper` class as adapter between algorithm and MindFormers.
* [DEMO] Added `SmoothQuant` class as entry of SmoothQuant algorithm.
* Added parameter checking that `RoundToNearest` algorithm only supports BackendTarget.ASCEND as backend.

### Contributors

Thanks goes to these wonderful people:

ccsszz, yyyyrf, hangangqiang

Contributions of any kind are welcome!