diff --git a/src/axolotl/integrations/liger/args.py b/src/axolotl/integrations/liger/args.py
index d05f08f9a..94ba83dd5 100644
--- a/src/axolotl/integrations/liger/args.py
+++ b/src/axolotl/integrations/liger/args.py
@@ -53,3 +53,12 @@ class LigerArgs(BaseModel):
             )
             data["liger_glu_activation"] = data.pop("liger_swiglu")
         return data
+
+    @model_validator(mode="before")
+    @classmethod
+    def check_tiled_mlp_conflict(cls, data):
+        if data.get("liger_glu_activation") is True and data.get("tiled_mlp") is True:
+            raise ValueError(
+                "You cannot have both `liger_glu_activation` and `tiled_mlp` set."
+            )
+        return data
diff --git a/src/axolotl/loaders/tokenizer.py b/src/axolotl/loaders/tokenizer.py
index 2f0ccbcbb..1889fa168 100644
--- a/src/axolotl/loaders/tokenizer.py
+++ b/src/axolotl/loaders/tokenizer.py
@@ -295,4 +295,9 @@ def load_tokenizer(cfg: DictDefault) -> PreTrainedTokenizer:
         LOG.info(
             "No Chat template selected. Consider adding a chat template for easier inference."
         )
+
+    # make the tokenizer.pad call quieter 🤐
+    if hasattr(tokenizer, "deprecation_warnings"):
+        tokenizer.deprecation_warnings["Asking-to-pad-a-fast-tokenizer"] = True
+
     return tokenizer
diff --git a/src/axolotl/monkeypatch/tiled_mlp.py b/src/axolotl/monkeypatch/tiled_mlp.py
index 3818c6b35..02bb3a8cb 100644
--- a/src/axolotl/monkeypatch/tiled_mlp.py
+++ b/src/axolotl/monkeypatch/tiled_mlp.py
@@ -7,6 +7,9 @@ import torch
 import torch.distributed as dist
 
 from axolotl.utils.callbacks.models import get_causal_lm_model_cls_prefix
+from axolotl.utils.logging import get_logger
+
+LOG = get_logger(__name__)
 
 
 def patch_tiled_mlp(model_type, use_original_mlp=False, cfg_num_shards=None):
@@ -63,6 +66,10 @@ def patch_tiled_mlp(model_type, use_original_mlp=False, cfg_num_shards=None):
 
         mlp_cls.forward = tiled_mlp_forward
         mlp_cls._compute_params = []  # pylint: disable=protected-access
+        LOG.info(
+            f"Successfully monkey-patched TiledMLP for model_type: {model_type}",
+            main_process_only=True,
+        )
     except (ImportError, AttributeError) as e:
         raise RuntimeError(
             f"Could not import MLP class for model_type: {model_type}. "
diff --git a/src/axolotl/utils/schemas/validation.py b/src/axolotl/utils/schemas/validation.py
index 292159bb8..64dbb2529 100644
--- a/src/axolotl/utils/schemas/validation.py
+++ b/src/axolotl/utils/schemas/validation.py
@@ -3,7 +3,6 @@
 # pylint: disable=too-many-boolean-expressions
 
 import json
-import logging
 import tempfile
 from pathlib import Path
 
@@ -13,11 +12,12 @@ from pydantic import (
 )
 from transformers.utils.import_utils import is_torch_npu_available
 
+from axolotl.utils.logging import get_logger
 from axolotl.utils.schemas.enums import ChatTemplate, RingAttnFunc, RLType
 
 # pylint: disable=too-many-lines
 
-LOG = logging.getLogger(__name__)
+LOG = get_logger(__name__)
 
 SUPPORTED_METRICS = {"sacrebleu", "comet", "ter", "chrf", "perplexity"}
 
@@ -116,7 +116,8 @@ class DatasetValidationMixin:
             and not data.get("eval_table_size")
         ):
             LOG.info(
-                "explicitly setting `eval_sample_packing` to match `sample_packing`"
+                "explicitly setting `eval_sample_packing` to match `sample_packing`",
+                main_process_only=True,
             )
             data["eval_sample_packing"] = True