diff --git a/bitsandbytes/autograd/_functions.py b/bitsandbytes/autograd/_functions.py
index 79ff48f44..e9610d554 100644
--- a/bitsandbytes/autograd/_functions.py
+++ b/bitsandbytes/autograd/_functions.py
@@ -517,7 +517,6 @@ def forward(ctx, A, B, out=None, bias=None, quant_state: Optional[F.QuantState]
 
         # 1. Dequantize
         # 2. MatmulnN
-        print("*******quant_state absmax: ", quant_state.absmax)
         output = torch.nn.functional.linear(A, F.dequantize_4bit(B, quant_state).to(A.dtype).t(), bias)
 
         # 3. Save state
@@ -596,5 +595,4 @@ def matmul_4bit(
                 out += bias
             return out
     else:
-        print("^^^^^^^^^grad seperate path^^^^^^^^^")
         return MatMul4Bit.apply(A, B, out, bias, quant_state)