diff --git a/benchmarking/accuracy/bnb_accuracy.py b/benchmarking/accuracy/bnb_accuracy.py
deleted file mode 100644
index 2860338ec..000000000
--- a/benchmarking/accuracy/bnb_accuracy.py
+++ /dev/null
@@ -1,26 +0,0 @@
-import torch
-
-from bitsandbytes import functional as F
-
-
-def debug_blocksize(block):
-    x = torch.randn(4096, 4096).cuda()
-    qx, qstate = F.quantize_fp4(x, blocksize=block)
-    dq = F.dequantize_fp4(qx, qstate)
-    return torch.sum(torch.linalg.norm(x - dq, ord="fro"))
-
-
-def test_blocksize(block):
-    x = torch.randn(10, 10).cuda()
-    qx, qstate = F.quantize_fp4(x, blocksize=block)
-    print(x)
-    print("---------------")
-    print(qx)
-    print("---------------")
-    print(qstate)
-
-
-for block in [128, 256, 512, 1024, 2048]:
-    print(debug_blocksize(block))
-
-# test_blocksize(2048)