diff --git a/.nojekyll b/.nojekyll
index dce54c08f..3313d6c22 100644
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+++ b/.nojekyll
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diff --git a/docs/api/core.trainers.base.html b/docs/api/core.trainers.base.html
index dfe865ff3..a7ba2bc98 100644
--- a/docs/api/core.trainers.base.html
+++ b/docs/api/core.trainers.base.html
@@ -511,10 +511,6 @@ pre > code.sourceCode > span > a:first-child::before { text-decoration: underlin
 <td><a href="#axolotl.core.trainers.base.AxolotlTrainer.push_to_hub">push_to_hub</a></td>
 <td>Overwrite the <code>push_to_hub</code> method in order to force-add the tags when pushing the</td>
 </tr>
-<tr class="odd">
-<td><a href="#axolotl.core.trainers.base.AxolotlTrainer.training_step">training_step</a></td>
-<td>Perform a training step on a batch of inputs. Overrides the</td>
-</tr>
 </tbody>
 </table>
 <section id="axolotl.core.trainers.base.AxolotlTrainer.get_eval_dataloader" class="level5">
@@ -570,49 +566,6 @@ pre > code.sourceCode > span > a:first-child::before { text-decoration: underlin
 <div class="sourceCode" id="cb5"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a>core.trainers.base.AxolotlTrainer.push_to_hub(<span class="op">*</span>args, <span class="op">**</span>kwargs)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 <p>Overwrite the <code>push_to_hub</code> method in order to force-add the tags when pushing the
 model on the Hub. Please refer to <code>~transformers.Trainer.push_to_hub</code> for more details.</p>
-</section>
-<section id="axolotl.core.trainers.base.AxolotlTrainer.training_step" class="level5">
-<h5 class="anchored" data-anchor-id="axolotl.core.trainers.base.AxolotlTrainer.training_step">training_step</h5>
-<div class="sourceCode" id="cb6"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb6-1"><a href="#cb6-1" aria-hidden="true" tabindex="-1"></a>core.trainers.base.AxolotlTrainer.training_step(</span>
-<span id="cb6-2"><a href="#cb6-2" aria-hidden="true" tabindex="-1"></a>    model,</span>
-<span id="cb6-3"><a href="#cb6-3" aria-hidden="true" tabindex="-1"></a>    inputs,</span>
-<span id="cb6-4"><a href="#cb6-4" aria-hidden="true" tabindex="-1"></a>    num_items_in_batch<span class="op">=</span><span class="va">None</span>,</span>
-<span id="cb6-5"><a href="#cb6-5" aria-hidden="true" tabindex="-1"></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
-<p>Perform a training step on a batch of inputs. Overrides the
-<code>transformers.trainer.Trainer</code> method to handle sequence parallelism if
-enabled.</p>
-<section id="parameters-1" class="level6 doc-section doc-section-parameters">
-<h6 class="doc-section doc-section-parameters anchored" data-anchor-id="parameters-1">Parameters</h6>
-<table class="caption-top table">
-<colgroup>
-<col style="width: 8%">
-<col style="width: 37%">
-<col style="width: 40%">
-<col style="width: 13%">
-</colgroup>
-<thead>
-<tr class="header">
-<th>Name</th>
-<th>Type</th>
-<th>Description</th>
-<th>Default</th>
-</tr>
-</thead>
-<tbody>
-<tr class="odd">
-<td>model</td>
-<td>nn.Module</td>
-<td>Model to perform training step for.</td>
-<td><em>required</em></td>
-</tr>
-<tr class="even">
-<td>inputs</td>
-<td>dict[str, torch.Tensor | Any]</td>
-<td>Dictionary mapping.</td>
-<td><em>required</em></td>
-</tr>
-</tbody>
-</table>
 
 
 </section>
@@ -620,7 +573,6 @@ enabled.</p>
 </section>
 </section>
 </section>
-</section>
 
 </main> <!-- /main -->
 <script id="quarto-html-after-body" type="application/javascript">
diff --git a/search.json b/search.json
index f7555ee42..eb700db89 100644
--- a/search.json
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@@ -2182,14 +2182,14 @@
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-    "text": "core.trainers.base\nModule for customized trainers\n\n\n\n\n\nName\nDescription\n\n\n\n\nAxolotlTrainer\nExtend the base Trainer for axolotl helpers\n\n\n\n\n\ncore.trainers.base.AxolotlTrainer(\n    self,\n    *_args,\n    bench_data_collator=None,\n    eval_data_collator=None,\n    dataset_tags=None,\n    **kwargs,\n)\nExtend the base Trainer for axolotl helpers\n\n\n\n\n\nName\nDescription\n\n\n\n\nget_eval_dataloader\nGet dataloader for evaluation\n\n\nget_train_dataloader\nGet dataloader for training\n\n\nlog\nLog logs on the various objects watching training, including stored metrics.\n\n\npush_to_hub\nOverwrite the push_to_hub method in order to force-add the tags when pushing the\n\n\ntraining_step\nPerform a training step on a batch of inputs. Overrides the\n\n\n\n\n\ncore.trainers.base.AxolotlTrainer.get_eval_dataloader(eval_dataset=None)\nGet dataloader for evaluation\n\n\n\ncore.trainers.base.AxolotlTrainer.get_train_dataloader()\nGet dataloader for training\n\n\n\ncore.trainers.base.AxolotlTrainer.log(logs, start_time=None)\nLog logs on the various objects watching training, including stored metrics.\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\nlogs\ndict[str, float]\nThe values to log.\nrequired\n\n\nstart_time\nfloat | None\nThe start of training.\nNone\n\n\n\n\n\n\n\ncore.trainers.base.AxolotlTrainer.push_to_hub(*args, **kwargs)\nOverwrite the push_to_hub method in order to force-add the tags when pushing the\nmodel on the Hub. Please refer to ~transformers.Trainer.push_to_hub for more details.\n\n\n\ncore.trainers.base.AxolotlTrainer.training_step(\n    model,\n    inputs,\n    num_items_in_batch=None,\n)\nPerform a training step on a batch of inputs. Overrides the\ntransformers.trainer.Trainer method to handle sequence parallelism if\nenabled.\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\nmodel\nnn.Module\nModel to perform training step for.\nrequired\n\n\ninputs\ndict[str, torch.Tensor | Any]\nDictionary mapping.\nrequired"
+    "text": "core.trainers.base\nModule for customized trainers\n\n\n\n\n\nName\nDescription\n\n\n\n\nAxolotlTrainer\nExtend the base Trainer for axolotl helpers\n\n\n\n\n\ncore.trainers.base.AxolotlTrainer(\n    self,\n    *_args,\n    bench_data_collator=None,\n    eval_data_collator=None,\n    dataset_tags=None,\n    **kwargs,\n)\nExtend the base Trainer for axolotl helpers\n\n\n\n\n\nName\nDescription\n\n\n\n\nget_eval_dataloader\nGet dataloader for evaluation\n\n\nget_train_dataloader\nGet dataloader for training\n\n\nlog\nLog logs on the various objects watching training, including stored metrics.\n\n\npush_to_hub\nOverwrite the push_to_hub method in order to force-add the tags when pushing the\n\n\n\n\n\ncore.trainers.base.AxolotlTrainer.get_eval_dataloader(eval_dataset=None)\nGet dataloader for evaluation\n\n\n\ncore.trainers.base.AxolotlTrainer.get_train_dataloader()\nGet dataloader for training\n\n\n\ncore.trainers.base.AxolotlTrainer.log(logs, start_time=None)\nLog logs on the various objects watching training, including stored metrics.\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\nlogs\ndict[str, float]\nThe values to log.\nrequired\n\n\nstart_time\nfloat | None\nThe start of training.\nNone\n\n\n\n\n\n\n\ncore.trainers.base.AxolotlTrainer.push_to_hub(*args, **kwargs)\nOverwrite the push_to_hub method in order to force-add the tags when pushing the\nmodel on the Hub. Please refer to ~transformers.Trainer.push_to_hub for more details."
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-    "text": "Name\nDescription\n\n\n\n\nAxolotlTrainer\nExtend the base Trainer for axolotl helpers\n\n\n\n\n\ncore.trainers.base.AxolotlTrainer(\n    self,\n    *_args,\n    bench_data_collator=None,\n    eval_data_collator=None,\n    dataset_tags=None,\n    **kwargs,\n)\nExtend the base Trainer for axolotl helpers\n\n\n\n\n\nName\nDescription\n\n\n\n\nget_eval_dataloader\nGet dataloader for evaluation\n\n\nget_train_dataloader\nGet dataloader for training\n\n\nlog\nLog logs on the various objects watching training, including stored metrics.\n\n\npush_to_hub\nOverwrite the push_to_hub method in order to force-add the tags when pushing the\n\n\ntraining_step\nPerform a training step on a batch of inputs. Overrides the\n\n\n\n\n\ncore.trainers.base.AxolotlTrainer.get_eval_dataloader(eval_dataset=None)\nGet dataloader for evaluation\n\n\n\ncore.trainers.base.AxolotlTrainer.get_train_dataloader()\nGet dataloader for training\n\n\n\ncore.trainers.base.AxolotlTrainer.log(logs, start_time=None)\nLog logs on the various objects watching training, including stored metrics.\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\nlogs\ndict[str, float]\nThe values to log.\nrequired\n\n\nstart_time\nfloat | None\nThe start of training.\nNone\n\n\n\n\n\n\n\ncore.trainers.base.AxolotlTrainer.push_to_hub(*args, **kwargs)\nOverwrite the push_to_hub method in order to force-add the tags when pushing the\nmodel on the Hub. Please refer to ~transformers.Trainer.push_to_hub for more details.\n\n\n\ncore.trainers.base.AxolotlTrainer.training_step(\n    model,\n    inputs,\n    num_items_in_batch=None,\n)\nPerform a training step on a batch of inputs. Overrides the\ntransformers.trainer.Trainer method to handle sequence parallelism if\nenabled.\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\nmodel\nnn.Module\nModel to perform training step for.\nrequired\n\n\ninputs\ndict[str, torch.Tensor | Any]\nDictionary mapping.\nrequired"
+    "text": "Name\nDescription\n\n\n\n\nAxolotlTrainer\nExtend the base Trainer for axolotl helpers\n\n\n\n\n\ncore.trainers.base.AxolotlTrainer(\n    self,\n    *_args,\n    bench_data_collator=None,\n    eval_data_collator=None,\n    dataset_tags=None,\n    **kwargs,\n)\nExtend the base Trainer for axolotl helpers\n\n\n\n\n\nName\nDescription\n\n\n\n\nget_eval_dataloader\nGet dataloader for evaluation\n\n\nget_train_dataloader\nGet dataloader for training\n\n\nlog\nLog logs on the various objects watching training, including stored metrics.\n\n\npush_to_hub\nOverwrite the push_to_hub method in order to force-add the tags when pushing the\n\n\n\n\n\ncore.trainers.base.AxolotlTrainer.get_eval_dataloader(eval_dataset=None)\nGet dataloader for evaluation\n\n\n\ncore.trainers.base.AxolotlTrainer.get_train_dataloader()\nGet dataloader for training\n\n\n\ncore.trainers.base.AxolotlTrainer.log(logs, start_time=None)\nLog logs on the various objects watching training, including stored metrics.\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\nlogs\ndict[str, float]\nThe values to log.\nrequired\n\n\nstart_time\nfloat | None\nThe start of training.\nNone\n\n\n\n\n\n\n\ncore.trainers.base.AxolotlTrainer.push_to_hub(*args, **kwargs)\nOverwrite the push_to_hub method in order to force-add the tags when pushing the\nmodel on the Hub. Please refer to ~transformers.Trainer.push_to_hub for more details."
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