diff --git a/.github/workflows/build-docs.yaml b/.github/workflows/build-docs.yaml
index ad45e7135..14c8b2800 100644
--- a/.github/workflows/build-docs.yaml
+++ b/.github/workflows/build-docs.yaml
@@ -15,10 +15,10 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Clone repo
-        uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
+        uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938 # v4.2.0
 
       - name: Clone docs repo
-        uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
+        uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938 # v4.2.0
         with:
           repository: Nixtla/docs
           ref: scripts
diff --git a/.github/workflows/ci.yaml b/.github/workflows/ci.yaml
index f05864130..05983690e 100644
--- a/.github/workflows/ci.yaml
+++ b/.github/workflows/ci.yaml
@@ -30,7 +30,7 @@ jobs:
       AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY_NIXTLA_TMP }}
     steps:
       - name: Clone repo
-        uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
+        uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938 # v4.2.0
 
       - name: Set up environment
         uses: mamba-org/setup-micromamba@f8b8a1e23a26f60a44c853292711bacfd3eac822 # v1.9.0
diff --git a/.github/workflows/lint.yaml b/.github/workflows/lint.yaml
index da8b66d3d..ee68ba5c4 100644
--- a/.github/workflows/lint.yaml
+++ b/.github/workflows/lint.yaml
@@ -11,7 +11,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Clone repo
-        uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
+        uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938 # v4.2.0
 
       - name: Set up python
         uses: actions/setup-python@f677139bbe7f9c59b41e40162b753c062f5d49a3 # 5.2.0
diff --git a/.github/workflows/python-publish.yml b/.github/workflows/python-publish.yml
index 7109edeb3..a070bdfe9 100644
--- a/.github/workflows/python-publish.yml
+++ b/.github/workflows/python-publish.yml
@@ -21,7 +21,7 @@ jobs:
     runs-on: ubuntu-latest
 
     steps:
-      - uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
+      - uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938 # v4.2.0
       - name: Set up Python
         uses: actions/setup-python@f677139bbe7f9c59b41e40162b753c062f5d49a3 # 5.2.0
         with:
diff --git a/action_files/test_models/src/multivariate_models.py b/action_files/test_models/src/multivariate_models.py
index af6ab7fab..8376f1a45 100644
--- a/action_files/test_models/src/multivariate_models.py
+++ b/action_files/test_models/src/multivariate_models.py
@@ -10,7 +10,7 @@
 from neuralforecast.models.tsmixer import TSMixer
 from neuralforecast.models.tsmixerx import TSMixerx
 from neuralforecast.models.itransformer import iTransformer
-# from neuralforecast.models.stemgnn import StemGNN
+# # from neuralforecast.models.stemgnn import StemGNN
 from neuralforecast.models.mlpmultivariate import MLPMultivariate
 from neuralforecast.models.timemixer import TimeMixer
 
diff --git a/nbs/common.base_model.ipynb b/nbs/common.base_model.ipynb
index 0be07e1fa..16c2582d4 100644
--- a/nbs/common.base_model.ipynb
+++ b/nbs/common.base_model.ipynb
@@ -109,6 +109,14 @@
     "        nn.init.xavier_normal_ = xavier_normal"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "fffc7edd",
+   "metadata": {},
+   "source": [
+    "`<<<<<<< HEAD`"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -590,6 +598,7 @@
     "        if self.val_size == 0:\n",
     "            return\n",
     "        losses = torch.stack(self.validation_step_outputs)\n",
+    "        avg_loss = losses.mean().detach().item()\n",
     "        avg_loss = losses.mean().detach()\n",
     "        self.log(\n",
     "            \"ptl/val_loss\",\n",
diff --git a/nbs/core.ipynb b/nbs/core.ipynb
index 8810218cf..70069e10a 100644
--- a/nbs/core.ipynb
+++ b/nbs/core.ipynb
@@ -93,7 +93,7 @@
     "    StemGNN, PatchTST, TimesNet, TimeLLM, TSMixer, TSMixerx,\n",
     "    MLPMultivariate, iTransformer,\n",
     "    BiTCN, TiDE, DeepNPTS, SOFTS,\n",
-    "    TimeMixer, KAN\n",
+    "    TimeMixer, KAN, RMoK\n",
     ")\n",
     "from neuralforecast.common._base_auto import BaseAuto, MockTrial"
    ]
@@ -245,7 +245,8 @@
     "    'deepnpts': DeepNPTS, 'autodeepnpts': DeepNPTS,\n",
     "    'softs': SOFTS, 'autosofts': SOFTS,\n",
     "    'timemixer': TimeMixer, 'autotimemixer': TimeMixer,\n",
-    "    'kan': KAN, 'autokan': KAN\n",
+    "    'kan': KAN, 'autokan': KAN,\n",
+    "    'rmok': RMoK, 'autormok': RMoK\n",
     "}"
    ]
   },
diff --git a/neuralforecast/common/_base_model.py b/neuralforecast/common/_base_model.py
index a78b887e6..0c73952d8 100644
--- a/neuralforecast/common/_base_model.py
+++ b/neuralforecast/common/_base_model.py
@@ -67,7 +67,7 @@ def noop(*args, **kwargs):
         nn.init.xavier_uniform_ = xavier_uniform
         nn.init.xavier_normal_ = xavier_normal
 
-# %% ../../nbs/common.base_model.ipynb 5
+# %% ../../nbs/common.base_model.ipynb 6
 class BaseModel(pl.LightningModule):
     EXOGENOUS_FUTR = True  # If the model can handle future exogenous variables
     EXOGENOUS_HIST = True  # If the model can handle historical exogenous variables
@@ -597,6 +597,7 @@ def on_validation_epoch_end(self):
         if self.val_size == 0:
             return
         losses = torch.stack(self.validation_step_outputs)
+        avg_loss = losses.mean().detach().item()
         avg_loss = losses.mean().detach()
         self.log(
             "ptl/val_loss",
diff --git a/neuralforecast/core.py b/neuralforecast/core.py
index 382714fc2..b0568a583 100644
--- a/neuralforecast/core.py
+++ b/neuralforecast/core.py
@@ -66,6 +66,7 @@
     SOFTS,
     TimeMixer,
     KAN,
+    RMoK,
 )
 from .common._base_auto import BaseAuto, MockTrial
 
@@ -190,6 +191,8 @@ def _insample_times(
     "autotimemixer": TimeMixer,
     "kan": KAN,
     "autokan": KAN,
+    "rmok": RMoK,
+    "autormok": RMoK,
 }
 
 # %% ../nbs/core.ipynb 8