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DOC: Fix typo in argument name: pseudoquant #41994

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DOC: Fix typo in argument name: pseudoquant #41994

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2 changes: 1 addition & 1 deletion docs/source/en/quantization/fp_quant.md
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Expand Up @@ -40,7 +40,7 @@ You can choose between MXFP4 and NVFP4 with `FPQuantConfig(forward_dtype="mxfp4"

A **Blackwell-generation GPU is required** to run the kernels. Runtime support for FP-Quant is implemented through the [QuTLASS](https://github.com/IST-DASLab/qutlass) library and a lightweight PyTorch interface lib [`fp_quant`](https://github.com/IST-DASLab/FP-Quant/tree/master/inference_lib). We recommend installing the former **from source** and the latter with `pip install fp_quant`.

Users **without a Blackwell-generation GPU** , can use the method with `quantization_config=FPQuantConfig(pseudoquant=True)` without having to install [QuTLASS](https://github.com/IST-DASLab/qutlass). This would provide no speedups but would fully emulate the effect of quantization.
Users **without a Blackwell-generation GPU** , can use the method with `quantization_config=FPQuantConfig(pseudoquantization=True)` without having to install [QuTLASS](https://github.com/IST-DASLab/qutlass). This would provide no speedups but would fully emulate the effect of quantization.

> [!TIP]
> Find models pre-quantized with FP-Quant in the official ISTA-DASLab [collection](https://huggingface.co/collections/ISTA-DASLab/fp-quant-6877c186103a21d3a02568ee).
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