bugfix: Update sampling_params.py (#4413)

python/sglang/srt/sampling/sampling_params.py

@@ -77,7 +77,7 @@ class SamplingParams:
         self.custom_params = custom_params
 
         # Process some special cases
-        if self.temperature < _SAMPLING_EPS:
+        if 0 <= self.temperature < _SAMPLING_EPS:
             # top_k = 1 means greedy sampling
             self.temperature = 1.0
             self.top_k = 1
@@ -93,9 +93,9 @@ class SamplingParams:
             raise ValueError(f"top_p must be in (0, 1], got {self.top_p}.")
         if not 0.0 <= self.min_p <= 1.0:
             raise ValueError(f"min_p must be in [0, 1], got {self.min_p}.")
-        if self.top_k < -1 or self.top_k == 0:
+        if self.top_k < 1 or self.top_k == -1:
             raise ValueError(
-                f"top_k must be -1 (disable), or at least 1, " f"got {self.top_k}."
+                f"top_k must be -1 (disable) or at least 1, got {self.top_k}."
             )
         if not -2.0 <= self.frequency_penalty <= 2.0:
             raise ValueError(
@@ -108,12 +108,12 @@ class SamplingParams:
             )
         if not 0.0 <= self.repetition_penalty <= 2.0:
             raise ValueError(
-                "repetition_penalty must be in (0, 2], got "
+                "repetition_penalty must be in [0, 2], got "
                 f"{self.repetition_penalty}."
             )
         if not 0 <= self.min_new_tokens:
             raise ValueError(
-                f"min_new_tokens must be in (0, max_new_tokens], got "
+                f"min_new_tokens must be in [0, max_new_tokens], got "
                 f"{self.min_new_tokens}."
             )
         if self.max_new_tokens is not None:
@@ -123,7 +123,7 @@ class SamplingParams:
                 )
             if not self.min_new_tokens <= self.max_new_tokens:
                 raise ValueError(
-                    f"min_new_tokens must be in (0, max_new_tokens({self.max_new_tokens})], got "
+                    f"min_new_tokens must be in [0, max_new_tokens({self.max_new_tokens})], got "
                     f"{self.min_new_tokens}."
                 )
         grammars = [