diff --git a/model.py b/model.py
index 4e420a2..fb222d0 100644
--- a/model.py
+++ b/model.py
@@ -204,7 +204,12 @@ class ModelContainer:
                 'temperature' (float): Sampling temperature (default: 0.8)
                 'top_k' (int): Sampling top-K (default: 100)
                 'top_p' (float): Sampling top-P (default: 0.8)
+                'min_p' (float): Sampling min-P (default: 0.0)
+                'tfs' (float): Tail-free sampling (default: 0.0)
                 'typical' (float): Sampling typical (default: 0.0)
+                'mirostat' (bool): Use Mirostat (default: False)
+                'mirostat_tau' (float) Mirostat tau parameter (default: 1.5)
+                'mirostat_eta' (float) Mirostat eta parameter (default: 0.1)
                 'token_repetition_penalty' (float): Token repetition/presence penalty (default: 1.15)
                 'token_repetition_range' (int): Repetition penalty range (default: whole context)
                 'token_repetition_decay' (int): Repetition penalty range (default: same as range)
@@ -228,7 +233,12 @@ class ModelContainer:
         gen_settings.temperature = kwargs.get("temperature", 0.8)
         gen_settings.top_k = kwargs.get("top_k", 100)
         gen_settings.top_p = kwargs.get("top_p", 0.8)
+        gen_settings.min_p = kwargs.get("min_p", 0.0)
+        gen_settings.tfs = kwargs.get("tfs", 0.0)
         gen_settings.typical = kwargs.get("typical", 0.0)
+        gen_settings.mirostat = kwargs.get("mirostat", False)
+        gen_settings.mirostat_tau = kwargs.get("mirostat_tau", 1.5)
+        gen_settings.mirostat_eta = kwargs.get("mirostat_eta", 0.1)
         gen_settings.token_repetition_penalty = kwargs.get("token_repetition_penalty", 1.15)
         gen_settings.token_repetition_range = kwargs.get("token_repetition_range", self.config.max_seq_len)
         gen_settings.token_repetition_decay = kwargs.get("token_repetition_decay", gen_settings.token_repetition_range)