diff --git a/backends/exllamav2/model.py b/backends/exllamav2/model.py
index b1eb127b..6f175702 100644
--- a/backends/exllamav2/model.py
+++ b/backends/exllamav2/model.py
@@ -220,11 +220,6 @@ async def create(cls, model_directory: pathlib.Path, quiet=False, **kwargs):
         # Hardcode max output length to 16
         self.config.max_output_len = 16
 
-        # Then override the base_seq_len if present
-        override_base_seq_len = kwargs.get("override_base_seq_len")
-        if override_base_seq_len:
-            self.config.max_seq_len = override_base_seq_len
-
         # Grab the base model's sequence length before overrides for
         # rope calculations
         base_seq_len = self.config.max_seq_len
diff --git a/colab/TabbyAPI_Colab_Example.ipynb b/colab/TabbyAPI_Colab_Example.ipynb
index 1b7e18d0..d2d8b6a1 100644
--- a/colab/TabbyAPI_Colab_Example.ipynb
+++ b/colab/TabbyAPI_Colab_Example.ipynb
@@ -92,7 +92,6 @@
         "# @markdown ---\n",
         "# @markdown Model parameters:\n",
         "ContextSize = 4096 # @param {type:\"integer\"}\n",
-        "OverrideBaseSeqLen = 4096 # @param {type:\"integer\"}\n",
         "RopeScale = 1.0 # @param {type:\"number\"}\n",
         "RopeAlpha = 1.0 # @param {type:\"number\"}\n",
         "NumExpertsPerToken = 2 # @param {type:\"integer\"}\n",
@@ -169,11 +168,6 @@
         "  # Fetched from the model's base sequence length in config.json by default\n",
         "  max_seq_len: {ContextSize}\n",
         "\n",
-        "  # Overrides base model context length (default: None)\n",
-        "  # WARNING: Don't set this unless you know what you're doing!\n",
-        "  # Only use this if the model's base sequence length in config.json is incorrect (ex. Mistral/Mixtral models)\n",
-        "  override_base_seq_len: {OverrideBaseSeqLen}\n",
-        "\n",
         "  # Automatically allocate resources to GPUs (default: True)\n",
         "  gpu_split_auto: True\n",
         "\n",
diff --git a/common/config_models.py b/common/config_models.py
index a31d6a56..40b4109a 100644
--- a/common/config_models.py
+++ b/common/config_models.py
@@ -176,16 +176,6 @@ class ModelConfig(BaseConfigModel):
         ),
         ge=0,
     )
-    override_base_seq_len: Optional[int] = Field(
-        None,
-        description=(
-            "Overrides base model context length (default: Empty).\n"
-            "WARNING: Don't set this unless you know what you're doing!\n"
-            "Again, do NOT use this for configuring context length, "
-            "use max_seq_len above ^"
-        ),
-        ge=0,
-    )
     tensor_parallel: Optional[bool] = Field(
         False,
         description=(
diff --git a/config_sample.yml b/config_sample.yml
index 771d7e6b..83f2fc76 100644
--- a/config_sample.yml
+++ b/config_sample.yml
@@ -69,11 +69,6 @@ model:
   # Fetched from the model's base sequence length in config.json by default.
   max_seq_len:
 
-  # Overrides base model context length (default: Empty).
-  # WARNING: Don't set this unless you know what you're doing!
-  # Again, do NOT use this for configuring context length, use max_seq_len above ^
-  override_base_seq_len:
-
   # Load model with tensor parallelism.
   # Falls back to autosplit if GPU split isn't provided.
   # This ignores the gpu_split_auto value.
diff --git a/endpoints/core/types/model.py b/endpoints/core/types/model.py
index 58ab0dc4..f2817f03 100644
--- a/endpoints/core/types/model.py
+++ b/endpoints/core/types/model.py
@@ -82,13 +82,6 @@ class ModelLoadRequest(BaseModel):
         default=None,
         examples=[4096],
     )
-    override_base_seq_len: Optional[int] = Field(
-        description=(
-            "Overrides the model's base sequence length. " "Leave blank if unsure"
-        ),
-        default=None,
-        examples=[4096],
-    )
     cache_size: Optional[int] = Field(
         description=("Number in tokens, must be greater than or equal to max_seq_len"),
         default=None,