What does this PR do?

Fixes the misleading error raised by GGUFQuantizer.check_quantized_param_shape when a loaded GGUF weight doesn't match the model's expected shape.

Before

inferred_shape = _quant_shape_from_byte_shape(loaded_param_shape, type_size, block_size)
if inferred_shape != current_param_shape:
    raise ValueError(
        f"{param_name} has an expected quantized shape of: {inferred_shape}, "
        f"but received shape: {loaded_param_shape}"
    )

The check compares inferred_shape against current_param_shape, but the message reports inferred_shape vs loaded_param_shape. Since inferred_shape is derived from loaded_param_shape, the two values on either side of the reported "mismatch" are effectively the same thing described at different unpacking stages — the shape the model actually expected (current_param_shape) never shows up in the message.

Concretely, the 9B Q8 GGUF failure noted in #13001 produced:

ValueError: double_stream_modulation_img.linear.weight has an expected quantized shape of: (24576, 4096), but received shape: torch.Size([24576, 8192])

…even though the model parameter was (36864, 6144), which is the real expected shape and the thing the user needs to see when diagnosing a Klein-vs-Dev/GGUF-variant mix-up.

After

<param_name> has an expected shape of: <current_param_shape>, but the loaded GGUF weight decodes to shape: <inferred_shape>

Now both sides of the comparison are visible, and the "expected" side actually reflects what the model wants.

Related

Partially addresses the error-message confusion noted by @Vargol in #13001 (comment). This PR only touches the error text — it does not change the detection logic or attempt to resolve the underlying Klein-vs-Dev GGUF shape-inference issue that @DN6 is tracking.

Before submitting

• This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
• Did you read the contributor guideline?
• Did you write any new necessary tests? — N/A; this is a one-line error-message correction with no behavior change.

Who can review?

@DN6 @sayakpaul