chore(train): remove unused MTP helper

Signed-off-by: HuiyingLi <willwin.lee@gmail.com>

Author: HuiyingLi

nemo_automodel/recipes/llm/train_ft.py

@@ -163,36 +163,6 @@ def _get_num_thd_chunks(pp_enabled, cfg):
     return 1
 
 
-def _mtp_is_enabled(cfg, model_parts) -> bool:
-    """Return True if Multi-Token Prediction is enabled for this run.
-
-    Checks both signals because either may be missing depending on how the
-    model was constructed:
-
-      * YAML override / explicit DeepseekV4Config: the
-        ``model.config.num_nextn_predict_layers`` field is the user-facing
-        knob and is present on the cfg before any model is built.
-      * Constructed model: V4's ``ForCausalLM.__init__`` materializes
-        ``self.mtp_config``.  Walking ``modules()`` catches it on the root
-        or on any submodule that retained the attribute after wrapping.
-
-    The module walk alone isn't sufficient: pipeline-parallel wrapping can
-    replace the V4 root with a stage container that no longer exposes
-    ``mtp_config``, in which case only the cfg lookup catches MTP.
-    """
-    n = int(cfg.get("model.config.num_nextn_predict_layers", 0) or 0)
-    if n > 0:
-        return True
-    for mp in model_parts:
-        if mp is None:
-            continue
-        for sub in mp.modules():
-            mc = getattr(sub, "mtp_config", None)
-            if mc is not None and getattr(mc, "enabled", False):
-                return True
-    return False
-
-
 def build_model(
     cfg_model,
     cfg_peft,