diff --git a/xformers/benchmarks/benchmark_attn_decoding.py b/xformers/benchmarks/benchmark_attn_decoding.py
index 8f8a7a6783..21a9e82d5e 100644
--- a/xformers/benchmarks/benchmark_attn_decoding.py
+++ b/xformers/benchmarks/benchmark_attn_decoding.py
@@ -31,16 +31,6 @@
     )
     for i in range(8, 18)
     for hkv in (1, 2)
-# ] + [
-#     dict(
-#         B=2,
-#         Mq=1,
-#         Mkv=8448,
-#         Hq=8,
-#         Hkv=1,
-#         K=128,
-#         attn_bias_type=xops.fmha.attn_bias.BlockDiagonalCausalWithOffsetPaddedKeysMask,
-#     )
 ]
 
 
@@ -215,7 +205,7 @@ def __init__(self, B: int, Mq: int, Mkv: int, Hq: int, Hkv: int, K: int, bw: boo
             [B, Mkv, Hkv, 1, K], device="cuda", dtype=dtype, requires_grad=bw
         )
 
-        num_groups = 4
+        num_groups = 1
         self.k = (
             quantize_kv_int4(self.k, num_groups=num_groups)
             .contiguous()
diff --git a/xformers/ops/fmha/triton_splitk.py b/xformers/ops/fmha/triton_splitk.py
index 609e48a1ba..9c544070f4 100644
--- a/xformers/ops/fmha/triton_splitk.py
+++ b/xformers/ops/fmha/triton_splitk.py
@@ -637,7 +637,7 @@ def dequantize(
             x_[:, :, None, :] >> offsets
         )  # (BLOCK_N, D // PACKED_PER_VAL, PACKED_PER_VAL)
 
-        quant_offset = tl.reshape(
+        quant_offset = tl.view(
             quant_offset, (BLOCK_N, BLOCK_DMODEL_PACKED * PACKED_PER_VAL)
         )
         # Trick - instead of converting int4 to float16 we view it as float16