[Docs] Fix hardcoded links in docs (#21287)
Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
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@@ -5,7 +5,7 @@ vLLM now supports [BitBLAS](https://github.com/microsoft/BitBLAS) for more effic
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!!! note
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Ensure your hardware supports the selected `dtype` (`torch.bfloat16` or `torch.float16`).
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Most recent NVIDIA GPUs support `float16`, while `bfloat16` is more common on newer architectures like Ampere or Hopper.
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For details see [supported hardware](https://docs.vllm.ai/en/latest/features/quantization/supported_hardware.html).
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For details see [supported hardware](supported_hardware.md).
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Below are the steps to utilize BitBLAS with vLLM.
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