diff --git a/backends/exllamav2/model.py b/backends/exllamav2/model.py
index ae1d7e4..ec2ec61 100644
--- a/backends/exllamav2/model.py
+++ b/backends/exllamav2/model.py
@@ -515,6 +515,14 @@ class ExllamaV2Container:
                 "installed ExLlamaV2 version."
             )
 
+        if (unwrap(kwargs.get("max_temp"), 0.0)) > 0.0 and not hasattr(
+            ExLlamaV2Sampler.Settings, "max_temp"
+        ):
+            logger.warning(
+                "DynaTemp parameters are not supported by the currently "
+                "installed ExLlamaV2 version."
+            )
+
     def generate(self, prompt: str, **kwargs):
         """Generate a response to a prompt"""
         generation = list(self.generate_gen(prompt, **kwargs))
@@ -579,6 +587,7 @@ class ExllamaV2Container:
         # Sampler settings
         gen_settings = ExLlamaV2Sampler.Settings()
 
+        # TODO: Migrate settings validation to different function
         self.check_unsupported_settings(**kwargs)
 
         # Apply settings
@@ -592,6 +601,22 @@ class ExllamaV2Container:
         gen_settings.typical = unwrap(kwargs.get("typical"), 1.0)
         gen_settings.mirostat = unwrap(kwargs.get("mirostat"), False)
 
+        # DynaTemp settings
+        if hasattr(gen_settings, "max_temp"):
+            max_temp = unwrap(kwargs.get("max_temp"), 0.0)
+            min_temp = unwrap(kwargs.get("min_temp"), 0.0)
+
+            if max_temp < min_temp or (
+                0 not in {min_temp, max_temp} and max_temp == min_temp
+            ):
+                logger.warning(
+                    "Max temp is less than or equal to min temp, skipping DynaTemp."
+                )
+
+            gen_settings.max_temp = max_temp
+            gen_settings.min_temp = min_temp
+            gen_settings.temp_exponent = kwargs.get("temp_exponent")
+
         # Default tau and eta fallbacks don't matter if mirostat is off
         gen_settings.mirostat_tau = unwrap(kwargs.get("mirostat_tau"), 1.5)
         gen_settings.mirostat_eta = unwrap(kwargs.get("mirostat_eta"), 0.1)
diff --git a/common/sampling.py b/common/sampling.py
index 8c28002..0f84cb5 100644
--- a/common/sampling.py
+++ b/common/sampling.py
@@ -43,6 +43,19 @@ class SamplerParams(BaseModel):
         default_factory=lambda: get_default_sampler_value("temperature_last", False)
     )
 
+    max_temp: Optional[float] = Field(
+        default_factory=lambda: get_default_sampler_value("max_temp", 0.0),
+    )
+
+    min_temp: Optional[float] = Field(
+        default_factory=lambda: get_default_sampler_value("min_temp", 0.0),
+    )
+
+    temp_exponent: Optional[float] = Field(
+        default_factory=lambda: get_default_sampler_value("temp_exponent", 1.0),
+        examples=[1.0],
+    )
+
     top_k: Optional[int] = Field(
         default_factory=lambda: get_default_sampler_value("top_k", 0)
     )
@@ -157,6 +170,9 @@ class SamplerParams(BaseModel):
             "logit_bias": self.logit_bias,
             "temperature": self.temperature,
             "temperature_last": self.temperature_last,
+            "min_temp": self.min_temp,
+            "max_temp": self.max_temp,
+            "temp_exponent": self.temp_exponent,
             "top_k": self.top_k,
             "top_p": self.top_p,
             "top_a": self.top_a,
diff --git a/sampler_overrides/sample_preset.yml b/sampler_overrides/sample_preset.yml
index eae17ab..e6e2258 100644
--- a/sampler_overrides/sample_preset.yml
+++ b/sampler_overrides/sample_preset.yml
@@ -30,6 +30,15 @@ temperature:
 temperature_last:
   override: false
   force: false
+min_temp:
+  override: 0.0
+  force: false
+max_temp:
+  override: 0.0
+  force: false
+temp_exponent:
+  override: 0.0
+  force: false
 
 # MARK: Alphabet soup
 top_k: