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+v0.0.21
+- Ampere, RTX 30 series GPUs now compatible with the library.
+
+v0.0.22:
+
+- Fixed an error where a `reset_parameters()` call on the `StableEmbedding` would lead to an error in older PyTorch versions (from 1.7.0).
+
+v0.0.23:
+
+Bugs:
+ - Unified quantization API: each quantization function now returns `Q, S` where `Q` is the quantized tensor and `S` the quantization state which may hold absolute max values, a quantization map or more. For dequantization all functions now accept the inputs `Q, S` so that `Q` is dequantized with the quantization state `S`.
+ - Fixed an issue where the CUDA 11.1 binary was not compiled with the right headers
+
+API changes:
+ - Block-wise quantization for optimizers now enabled by default
+
+Features:
+ - Block-wise quantization routines now support CPU Tensors.
+
+
+v0.0.24:
+
+- Fixed a bug where a float/half conversion led to a compilation error for CUDA 11.1 on Turning GPUs.