# AdamW

[AdamW](https://hf.co/papers/1711.05101) is a variant of the [`Adam`] optimizer that separates weight decay from the gradient update based on the observation that the weight decay formulation is different when applied to [`SGD`] and [`Adam`].

bitsandbytes also supports paged optimizers which take advantage of CUDAs unified memory to transfer memory from the GPU to the CPU when GPU memory is exhausted.

## AdamW[[api-class]]

[[autodoc]] bitsandbytes.optim.AdamW
    - __init__

## AdamW8bit

[[autodoc]] bitsandbytes.optim.AdamW8bit
    - __init__

## AdamW32bit

[[autodoc]] bitsandbytes.optim.AdamW32bit
    - __init__

## PagedAdamW

[[autodoc]] bitsandbytes.optim.PagedAdamW
    - __init__
## PagedAdamW8bit

[[autodoc]] bitsandbytes.optim.PagedAdamW8bit
    - __init__

## PagedAdamW32bit

[[autodoc]] bitsandbytes.optim.PagedAdamW32bit
    - __init__