Update muon.py

Author: KakaruHayate

modules/optimizer/muon.py

@@ -131,8 +131,6 @@ class Muon(torch.optim.Optimizer):
         momentum: The momentum used by the internal SGD.
         nesterov: Whether to use Nesterov-style momentum in the internal SGD. (recommended)
         ns_steps: The number of Newton-Schulz iteration steps to use.
-        ns_coefficients: List of tuples (a, b, c) for each NS step. Defaults to standard 5-step NS coeffs.
-        method: String selector for the orthogonalization strategy ('ns5', 'gram_ns', or 'mud').
     """
 
     def __init__(self, params, lr=5e-4, weight_decay=0.1, momentum=0.95, nesterov=True, ns_steps=5):