Adjust number of reserved tokens to match the model

tokenization_kimi.py

@@ -103,7 +103,7 @@ class TikTokenTokenizer(PreTrainedTokenizer):
         self.special_tokens = {
             special_tokens_mapping.get(i, f"<|reserved_token_{i}|>"): i
             for i in range(
-                num_base_tokens, num_base_tokens + self.num_reserved_special_tokens + 2
+                num_base_tokens, num_base_tokens + self.num_reserved_special_tokens
             )
         }