diff --git a/modules/sampler_hijack.py b/modules/sampler_hijack.py
index 1f9ca52c..55d1997b 100644
--- a/modules/sampler_hijack.py
+++ b/modules/sampler_hijack.py
@@ -125,36 +125,6 @@ class QuadraticSamplingLogitsWarper(LogitsWarper):
         return transformed_logits
 
 
-class MinPLogitsWarper(LogitsWarper):
-    def __init__(self, min_p: float, filter_value: float = -float("Inf"), min_tokens_to_keep: int = 1):
-        if min_p < 0 or min_p > 1.0:
-            raise ValueError(f"`min_p` has to be a float >= 0 and <= 1, but is {min_p}")
-        self.min_p = min_p
-        self.filter_value = filter_value
-        self.min_tokens_to_keep = min_tokens_to_keep
-
-    def __call__(self, input_ids: torch.LongTensor, scores: torch.FloatTensor) -> torch.FloatTensor:
-        # Convert logits to probabilities
-        probs = torch.softmax(scores, dim=-1)
-        # Get the probability of the top token for each sequence in the batch
-        top_probs, _ = probs.max(dim=-1, keepdim=True)
-        # Calculate the actual min_p threshold by scaling min_p with the top token's probability
-        scaled_min_p = self.min_p * top_probs
-        # Create a mask for tokens that have a probability less than the scaled min_p
-        tokens_to_remove = probs < scaled_min_p
-
-        sorted_indices = torch.argsort(scores, descending=True, dim=-1)
-        sorted_indices_to_remove = torch.gather(tokens_to_remove, dim=-1, index=sorted_indices)
-
-        if self.min_tokens_to_keep > 1:
-            # Keep at least min_tokens_to_keep
-            sorted_indices_to_remove[..., : self.min_tokens_to_keep] = False
-
-        indices_to_remove = sorted_indices_to_remove.scatter(1, sorted_indices, sorted_indices_to_remove)
-        scores = scores.masked_fill(indices_to_remove, self.filter_value)
-        return scores
-
-
 class TailFreeLogitsWarper(LogitsWarper):
     def __init__(self, tfs: float, filter_value: float = -float("Inf"), min_tokens_to_keep: int = 1):
         tfs = float(tfs)
@@ -421,14 +391,6 @@ def get_logits_warper_patch(self, generation_config):
             )
         )
 
-    if generation_config.min_p is not None and 0.0 < generation_config.min_p <= 1.0:
-        warpers_to_add.append(
-            MinPLogitsWarper(
-                min_p=generation_config.min_p,
-                min_tokens_to_keep=min_tokens_to_keep
-            )
-        )
-
     if generation_config.dynamic_temperature:
         warpers_to_add.append(
             DynamicTemperatureLogitsWarper(