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Latest version: v0.44.1

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0.0.23

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.

0.0.22

- Fixed an error where a `reset_parameters()` call on the `StableEmbedding` would lead to an error in older PyTorch versions (from 1.7.0).

0.0.21

- Ampere, RTX 30 series GPUs now compatible with the library.

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