Repository: huggingface/transformers
Pull request: Fix FP-Quant quantization fallback CPU dispatch.

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Added a workaround for a hard-coded missing key CPU dispatch that broke pre-quantized model loading for FP-Quant.
`weight` was assumed to be missing and auto-dispatched to CPU but it's a parameter that gets set to `None` in post-loading (in `pre_forward`).

Fixed FP-Quant test typos.

Blocked by #41613 too.


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Changed files:
filename: src/transformers/quantizers/quantizer_fp_quant.py
patch: @@ -97,6 +97,10 @@ def create_quantized_param(
     ):
         module, _ = get_module_from_name(model, param_name)
 
+        if target_device == "cpu" and param_name.endswith("weight"):
+            # Works agains hard-coded missing key dispatch to CPU
+            return
+
         # The module holds either:
         #  * `weight` when `store_master_weights=True`
         #  * `qweight` and `scales` when `store_master_weights=False` and `pseudoquantization=False`

filename: tests/quantization/fp_quant_integration/test_fp_quant.py
patch: @@ -160,14 +160,14 @@ def getQuantizationConfig(cls):
 class FPQuantMXFP4Test(FPQuantBaseTest):
     @classmethod
     def getQuantizationConfig(cls):
-        return FPQuantConfig(forward_dtype="nvfp4", pseudoquantization=False)
+        return FPQuantConfig(forward_dtype="mxfp4", pseudoquantization=False)
 
 
 @require_qutlass
 class FPQuantMXFP4GS128Test(FPQuantBaseTest):
     @classmethod
     def getQuantizationConfig(cls):
-        return FPQuantConfig(forward_dtype="nvfp4", pseudoquantization=False, hadamard_group_size=128)
+        return FPQuantConfig(forward_dtype="mxfp4", pseudoquantization=False, hadamard_group_size=128)
 
 
 @require_qutlass