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[Doc] Add top anchor and a note to quantization/bitblas.md #17042

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8 changes: 8 additions & 0 deletions docs/source/features/quantization/bitblas.md
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(bitblas)=

# BitBLAS

vLLM now supports [BitBLAS](https://github.com/microsoft/BitBLAS) for more efficient and flexible model inference. Compared to other quantization frameworks, BitBLAS provides more precision combinations.

:::{note}
Ensure your hardware supports the selected `dtype` (`torch.bfloat16` or `torch.float16`).
Most recent NVIDIA GPUs support `float16`, while `bfloat16` is more common on newer architectures like Ampere or Hopper.
For details see [supported hardware](https://docs.vllm.ai/en/latest/features/quantization/supported_hardware.html).
:::

Below are the steps to utilize BitBLAS with vLLM.

```console
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