diff --git a/.nojekyll b/.nojekyll
index ed2b46d64..7daede940 100644
--- a/.nojekyll
+++ b/.nojekyll
@@ -1 +1 @@
-be620dc5
\ No newline at end of file
+293e0ad4
\ No newline at end of file
diff --git a/docs/api/utils.collators.batching.html b/docs/api/utils.collators.batching.html
index 9b9e0ee28..ddb7bb0f6 100644
--- a/docs/api/utils.collators.batching.html
+++ b/docs/api/utils.collators.batching.html
@@ -453,10 +453,6 @@ pre > code.sourceCode > span > a:first-child::before { text-decoration: underlin
   <li><a href="#axolotl.utils.collators.batching.PretrainingBatchSamplerDataCollatorForSeq2Seq" id="toc-axolotl.utils.collators.batching.PretrainingBatchSamplerDataCollatorForSeq2Seq" class="nav-link" data-scroll-target="#axolotl.utils.collators.batching.PretrainingBatchSamplerDataCollatorForSeq2Seq">PretrainingBatchSamplerDataCollatorForSeq2Seq</a></li>
   <li><a href="#axolotl.utils.collators.batching.V2BatchSamplerDataCollatorForSeq2Seq" id="toc-axolotl.utils.collators.batching.V2BatchSamplerDataCollatorForSeq2Seq" class="nav-link" data-scroll-target="#axolotl.utils.collators.batching.V2BatchSamplerDataCollatorForSeq2Seq">V2BatchSamplerDataCollatorForSeq2Seq</a></li>
   </ul></li>
-  <li><a href="#functions" id="toc-functions" class="nav-link" data-scroll-target="#functions">Functions</a>
-  <ul class="collapse">
-  <li><a href="#axolotl.utils.collators.batching.adjust_position_ids_for_slice" id="toc-axolotl.utils.collators.batching.adjust_position_ids_for_slice" class="nav-link" data-scroll-target="#axolotl.utils.collators.batching.adjust_position_ids_for_slice">adjust_position_ids_for_slice</a></li>
-  </ul></li>
   </ul></li>
   </ul>
 </nav>
@@ -696,30 +692,6 @@ includes logic for handling sequence parallelism collation.</p>
 <span id="cb5-11"><a href="#cb5-11" aria-hidden="true" tabindex="-1"></a>    sequence_parallel_degree<span class="op">=</span><span class="dv">1</span>,</span>
 <span id="cb5-12"><a href="#cb5-12" 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>Collator for multipack specific to the using the BatchSampler</p>
-</section>
-</section>
-<section id="functions" class="level2">
-<h2 class="anchored" data-anchor-id="functions">Functions</h2>
-<table class="caption-top table">
-<thead>
-<tr class="header">
-<th>Name</th>
-<th>Description</th>
-</tr>
-</thead>
-<tbody>
-<tr class="odd">
-<td><a href="#axolotl.utils.collators.batching.adjust_position_ids_for_slice">adjust_position_ids_for_slice</a></td>
-<td>Adjust position IDs for a sliced sequence to maintain proper relative positions.</td>
-</tr>
-</tbody>
-</table>
-<section id="axolotl.utils.collators.batching.adjust_position_ids_for_slice" class="level3">
-<h3 class="anchored" data-anchor-id="axolotl.utils.collators.batching.adjust_position_ids_for_slice">adjust_position_ids_for_slice</h3>
-<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>utils.collators.batching.adjust_position_ids_for_slice(position_ids, start_idx)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
-<p>Adjust position IDs for a sliced sequence to maintain proper relative positions.
-This handles the case where position IDs might not be contiguous due to sample
-packing.</p>
 
 
 </section>
diff --git a/search.json b/search.json
index be1b9ec67..1640867b8 100644
--- a/search.json
+++ b/search.json
@@ -2422,7 +2422,7 @@
     "href": "docs/api/utils.collators.batching.html",
     "title": "utils.collators.batching",
     "section": "",
-    "text": "utils.collators.batching\nData collators for axolotl to pad labels and position_ids for packed sequences. Also\nincludes logic for handling sequence parallelism collation.\n\n\n\n\n\nName\nDescription\n\n\n\n\nBatchSamplerDataCollatorForSeq2Seq\nCollator for multipack specific to the using the BatchSampler\n\n\nDataCollatorForSeq2Seq\nData collator that will dynamically pad the inputs received, as well as the labels and position_ids\n\n\nPretrainingBatchSamplerDataCollatorForSeq2Seq\nCollator for multipack specific to the using the BatchSampler\n\n\nV2BatchSamplerDataCollatorForSeq2Seq\nCollator for multipack specific to the using the BatchSampler\n\n\n\n\n\nutils.collators.batching.BatchSamplerDataCollatorForSeq2Seq(\n    self,\n    tokenizer,\n    model=None,\n    padding=True,\n    max_length=None,\n    pad_to_multiple_of=None,\n    label_pad_token_id=-100,\n    position_pad_token_id=0,\n    return_tensors='pt',\n    sequence_parallel_degree=1,\n)\nCollator for multipack specific to the using the BatchSampler\n\n\n\nutils.collators.batching.DataCollatorForSeq2Seq(\n    self,\n    tokenizer,\n    model=None,\n    padding=True,\n    max_length=None,\n    pad_to_multiple_of=None,\n    label_pad_token_id=-100,\n    position_pad_token_id=0,\n    return_tensors='pt',\n    sequence_parallel_degree=1,\n)\nData collator that will dynamically pad the inputs received, as well as the labels and position_ids\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\ntokenizer\n[PreTrainedTokenizer] or [PreTrainedTokenizerFast]\nThe tokenizer used for encoding the data.\nrequired\n\n\nmodel\n[PreTrainedModel]\nThe model that is being trained. If set and has the prepare_decoder_input_ids_from_labels, use it to prepare the decoder_input_ids This is useful when using label_smoothing to avoid calculating loss twice.\nNone\n\n\npadding\nbool, str or [~utils.PaddingStrategy], optional, defaults to True\nSelect a strategy to pad the returned sequences (according to the model’s padding side and padding index) among: - True or 'longest' (default): Pad to the longest sequence in the batch (or no padding if only a single sequence is provided). - 'max_length': Pad to a maximum length specified with the argument max_length or to the maximum acceptable input length for the model if that argument is not provided. - False or 'do_not_pad': No padding (i.e., can output a batch with sequences of different lengths).\nTrue\n\n\nmax_length\nint, optional\nMaximum length of the returned list and optionally padding length (see above).\nNone\n\n\npad_to_multiple_of\nint, optional\nIf set will pad the sequence to a multiple of the provided value. This is especially useful to enable the use of Tensor Cores on NVIDIA hardware with compute capability &gt;= 7.5 (Volta).\nNone\n\n\nlabel_pad_token_id\nint, optional, defaults to -100\nThe id to use when padding the labels (-100 will be automatically ignored by PyTorch loss functions).\n-100\n\n\nreturn_tensors\nstr\nThe type of Tensor to return. Allowable values are “np”, “pt” and “tf”.\n'pt'\n\n\nsequence_parallel_degree\nint\nThe degree of sequence parallelism. Default to 1 for no sequence parallelism.\n1\n\n\n\n\n\n\n\n\n\nName\nDescription\n\n\n\n\napply_sequence_parallelism\nApply sequence parallelism slicing to a batch.\n\n\n\n\n\nutils.collators.batching.DataCollatorForSeq2Seq.apply_sequence_parallelism(\n    batch,\n)\nApply sequence parallelism slicing to a batch.\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\nbatch\ndict[str, torch.Tensor]\nBatch dictionary from parent collator.\nrequired\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\n\n\n\n\n\ntorch.Tensor\nSliced batch dictionary.\n\n\n\n\n\n\n\n\n\nutils.collators.batching.PretrainingBatchSamplerDataCollatorForSeq2Seq(\n    self,\n    *args,\n    multipack_attn=True,\n    **kwargs,\n)\nCollator for multipack specific to the using the BatchSampler\n\n\n\nutils.collators.batching.V2BatchSamplerDataCollatorForSeq2Seq(\n    self,\n    tokenizer,\n    model=None,\n    padding=True,\n    max_length=None,\n    pad_to_multiple_of=None,\n    label_pad_token_id=-100,\n    position_pad_token_id=0,\n    return_tensors='pt',\n    sequence_parallel_degree=1,\n)\nCollator for multipack specific to the using the BatchSampler\n\n\n\n\n\n\n\nName\nDescription\n\n\n\n\nadjust_position_ids_for_slice\nAdjust position IDs for a sliced sequence to maintain proper relative positions.\n\n\n\n\n\nutils.collators.batching.adjust_position_ids_for_slice(position_ids, start_idx)\nAdjust position IDs for a sliced sequence to maintain proper relative positions.\nThis handles the case where position IDs might not be contiguous due to sample\npacking."
+    "text": "utils.collators.batching\nData collators for axolotl to pad labels and position_ids for packed sequences. Also\nincludes logic for handling sequence parallelism collation.\n\n\n\n\n\nName\nDescription\n\n\n\n\nBatchSamplerDataCollatorForSeq2Seq\nCollator for multipack specific to the using the BatchSampler\n\n\nDataCollatorForSeq2Seq\nData collator that will dynamically pad the inputs received, as well as the labels and position_ids\n\n\nPretrainingBatchSamplerDataCollatorForSeq2Seq\nCollator for multipack specific to the using the BatchSampler\n\n\nV2BatchSamplerDataCollatorForSeq2Seq\nCollator for multipack specific to the using the BatchSampler\n\n\n\n\n\nutils.collators.batching.BatchSamplerDataCollatorForSeq2Seq(\n    self,\n    tokenizer,\n    model=None,\n    padding=True,\n    max_length=None,\n    pad_to_multiple_of=None,\n    label_pad_token_id=-100,\n    position_pad_token_id=0,\n    return_tensors='pt',\n    sequence_parallel_degree=1,\n)\nCollator for multipack specific to the using the BatchSampler\n\n\n\nutils.collators.batching.DataCollatorForSeq2Seq(\n    self,\n    tokenizer,\n    model=None,\n    padding=True,\n    max_length=None,\n    pad_to_multiple_of=None,\n    label_pad_token_id=-100,\n    position_pad_token_id=0,\n    return_tensors='pt',\n    sequence_parallel_degree=1,\n)\nData collator that will dynamically pad the inputs received, as well as the labels and position_ids\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\ntokenizer\n[PreTrainedTokenizer] or [PreTrainedTokenizerFast]\nThe tokenizer used for encoding the data.\nrequired\n\n\nmodel\n[PreTrainedModel]\nThe model that is being trained. If set and has the prepare_decoder_input_ids_from_labels, use it to prepare the decoder_input_ids This is useful when using label_smoothing to avoid calculating loss twice.\nNone\n\n\npadding\nbool, str or [~utils.PaddingStrategy], optional, defaults to True\nSelect a strategy to pad the returned sequences (according to the model’s padding side and padding index) among: - True or 'longest' (default): Pad to the longest sequence in the batch (or no padding if only a single sequence is provided). - 'max_length': Pad to a maximum length specified with the argument max_length or to the maximum acceptable input length for the model if that argument is not provided. - False or 'do_not_pad': No padding (i.e., can output a batch with sequences of different lengths).\nTrue\n\n\nmax_length\nint, optional\nMaximum length of the returned list and optionally padding length (see above).\nNone\n\n\npad_to_multiple_of\nint, optional\nIf set will pad the sequence to a multiple of the provided value. This is especially useful to enable the use of Tensor Cores on NVIDIA hardware with compute capability &gt;= 7.5 (Volta).\nNone\n\n\nlabel_pad_token_id\nint, optional, defaults to -100\nThe id to use when padding the labels (-100 will be automatically ignored by PyTorch loss functions).\n-100\n\n\nreturn_tensors\nstr\nThe type of Tensor to return. Allowable values are “np”, “pt” and “tf”.\n'pt'\n\n\nsequence_parallel_degree\nint\nThe degree of sequence parallelism. Default to 1 for no sequence parallelism.\n1\n\n\n\n\n\n\n\n\n\nName\nDescription\n\n\n\n\napply_sequence_parallelism\nApply sequence parallelism slicing to a batch.\n\n\n\n\n\nutils.collators.batching.DataCollatorForSeq2Seq.apply_sequence_parallelism(\n    batch,\n)\nApply sequence parallelism slicing to a batch.\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\nbatch\ndict[str, torch.Tensor]\nBatch dictionary from parent collator.\nrequired\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\n\n\n\n\n\ntorch.Tensor\nSliced batch dictionary.\n\n\n\n\n\n\n\n\n\nutils.collators.batching.PretrainingBatchSamplerDataCollatorForSeq2Seq(\n    self,\n    *args,\n    multipack_attn=True,\n    **kwargs,\n)\nCollator for multipack specific to the using the BatchSampler\n\n\n\nutils.collators.batching.V2BatchSamplerDataCollatorForSeq2Seq(\n    self,\n    tokenizer,\n    model=None,\n    padding=True,\n    max_length=None,\n    pad_to_multiple_of=None,\n    label_pad_token_id=-100,\n    position_pad_token_id=0,\n    return_tensors='pt',\n    sequence_parallel_degree=1,\n)\nCollator for multipack specific to the using the BatchSampler"
   },
   {
     "objectID": "docs/api/utils.collators.batching.html#classes",
@@ -2431,13 +2431,6 @@
     "section": "",
     "text": "Name\nDescription\n\n\n\n\nBatchSamplerDataCollatorForSeq2Seq\nCollator for multipack specific to the using the BatchSampler\n\n\nDataCollatorForSeq2Seq\nData collator that will dynamically pad the inputs received, as well as the labels and position_ids\n\n\nPretrainingBatchSamplerDataCollatorForSeq2Seq\nCollator for multipack specific to the using the BatchSampler\n\n\nV2BatchSamplerDataCollatorForSeq2Seq\nCollator for multipack specific to the using the BatchSampler\n\n\n\n\n\nutils.collators.batching.BatchSamplerDataCollatorForSeq2Seq(\n    self,\n    tokenizer,\n    model=None,\n    padding=True,\n    max_length=None,\n    pad_to_multiple_of=None,\n    label_pad_token_id=-100,\n    position_pad_token_id=0,\n    return_tensors='pt',\n    sequence_parallel_degree=1,\n)\nCollator for multipack specific to the using the BatchSampler\n\n\n\nutils.collators.batching.DataCollatorForSeq2Seq(\n    self,\n    tokenizer,\n    model=None,\n    padding=True,\n    max_length=None,\n    pad_to_multiple_of=None,\n    label_pad_token_id=-100,\n    position_pad_token_id=0,\n    return_tensors='pt',\n    sequence_parallel_degree=1,\n)\nData collator that will dynamically pad the inputs received, as well as the labels and position_ids\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\ntokenizer\n[PreTrainedTokenizer] or [PreTrainedTokenizerFast]\nThe tokenizer used for encoding the data.\nrequired\n\n\nmodel\n[PreTrainedModel]\nThe model that is being trained. If set and has the prepare_decoder_input_ids_from_labels, use it to prepare the decoder_input_ids This is useful when using label_smoothing to avoid calculating loss twice.\nNone\n\n\npadding\nbool, str or [~utils.PaddingStrategy], optional, defaults to True\nSelect a strategy to pad the returned sequences (according to the model’s padding side and padding index) among: - True or 'longest' (default): Pad to the longest sequence in the batch (or no padding if only a single sequence is provided). - 'max_length': Pad to a maximum length specified with the argument max_length or to the maximum acceptable input length for the model if that argument is not provided. - False or 'do_not_pad': No padding (i.e., can output a batch with sequences of different lengths).\nTrue\n\n\nmax_length\nint, optional\nMaximum length of the returned list and optionally padding length (see above).\nNone\n\n\npad_to_multiple_of\nint, optional\nIf set will pad the sequence to a multiple of the provided value. This is especially useful to enable the use of Tensor Cores on NVIDIA hardware with compute capability &gt;= 7.5 (Volta).\nNone\n\n\nlabel_pad_token_id\nint, optional, defaults to -100\nThe id to use when padding the labels (-100 will be automatically ignored by PyTorch loss functions).\n-100\n\n\nreturn_tensors\nstr\nThe type of Tensor to return. Allowable values are “np”, “pt” and “tf”.\n'pt'\n\n\nsequence_parallel_degree\nint\nThe degree of sequence parallelism. Default to 1 for no sequence parallelism.\n1\n\n\n\n\n\n\n\n\n\nName\nDescription\n\n\n\n\napply_sequence_parallelism\nApply sequence parallelism slicing to a batch.\n\n\n\n\n\nutils.collators.batching.DataCollatorForSeq2Seq.apply_sequence_parallelism(\n    batch,\n)\nApply sequence parallelism slicing to a batch.\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\nbatch\ndict[str, torch.Tensor]\nBatch dictionary from parent collator.\nrequired\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\n\n\n\n\n\ntorch.Tensor\nSliced batch dictionary.\n\n\n\n\n\n\n\n\n\nutils.collators.batching.PretrainingBatchSamplerDataCollatorForSeq2Seq(\n    self,\n    *args,\n    multipack_attn=True,\n    **kwargs,\n)\nCollator for multipack specific to the using the BatchSampler\n\n\n\nutils.collators.batching.V2BatchSamplerDataCollatorForSeq2Seq(\n    self,\n    tokenizer,\n    model=None,\n    padding=True,\n    max_length=None,\n    pad_to_multiple_of=None,\n    label_pad_token_id=-100,\n    position_pad_token_id=0,\n    return_tensors='pt',\n    sequence_parallel_degree=1,\n)\nCollator for multipack specific to the using the BatchSampler"
   },
-  {
-    "objectID": "docs/api/utils.collators.batching.html#functions",
-    "href": "docs/api/utils.collators.batching.html#functions",
-    "title": "utils.collators.batching",
-    "section": "",
-    "text": "Name\nDescription\n\n\n\n\nadjust_position_ids_for_slice\nAdjust position IDs for a sliced sequence to maintain proper relative positions.\n\n\n\n\n\nutils.collators.batching.adjust_position_ids_for_slice(position_ids, start_idx)\nAdjust position IDs for a sliced sequence to maintain proper relative positions.\nThis handles the case where position IDs might not be contiguous due to sample\npacking."
-  },
   {
     "objectID": "docs/api/prompt_strategies.completion.html",
     "href": "docs/api/prompt_strategies.completion.html",
diff --git a/sitemap.xml b/sitemap.xml
index c7811e7c5..f863e6a88 100644
--- a/sitemap.xml
+++ b/sitemap.xml
@@ -2,682 +2,682 @@
 <urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/examples/colab-notebooks/colab-axolotl-example.html</loc>
-    <lastmod>2025-04-07T16:41:27.525Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.453Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/dataset-formats/stepwise_supervised.html</loc>
-    <lastmod>2025-04-07T16:41:27.521Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.449Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/dataset-formats/template_free.html</loc>
-    <lastmod>2025-04-07T16:41:27.521Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.449Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/dataset-formats/tokenized.html</loc>
-    <lastmod>2025-04-07T16:41:27.521Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.449Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/nccl.html</loc>
-    <lastmod>2025-04-07T16:41:27.524Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.452Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/amd_hpc.html</loc>
-    <lastmod>2025-04-07T16:41:27.520Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.448Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/config.html</loc>
-    <lastmod>2025-04-07T16:41:27.520Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.448Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/multi-gpu.html</loc>
-    <lastmod>2025-04-07T16:41:27.524Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.452Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/installation.html</loc>
-    <lastmod>2025-04-07T16:41:27.524Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.452Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/torchao.html</loc>
-    <lastmod>2025-04-07T16:41:27.524Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.452Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/reward_modelling.html</loc>
-    <lastmod>2025-04-07T16:41:27.524Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.452Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/input_output.html</loc>
-    <lastmod>2025-04-07T16:41:27.524Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.452Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/multimodal.html</loc>
-    <lastmod>2025-04-07T16:41:27.524Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.452Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.callbacks.mlflow_.html</loc>
-    <lastmod>2025-04-07T16:42:04.119Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.444Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/monkeypatch.trainer_fsdp_optim.html</loc>
-    <lastmod>2025-04-07T16:42:03.710Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.034Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/monkeypatch.data.batch_dataset_fetcher.html</loc>
-    <lastmod>2025-04-07T16:42:03.727Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.050Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/prompt_strategies.stepwise_supervised.html</loc>
-    <lastmod>2025-04-07T16:42:03.418Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.744Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/monkeypatch.mistral_attn_hijack_flash.html</loc>
-    <lastmod>2025-04-07T16:42:03.659Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.983Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/prompt_strategies.dpo.user_defined.html</loc>
-    <lastmod>2025-04-07T16:42:03.464Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.789Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/integrations.liger.args.html</loc>
-    <lastmod>2025-04-07T16:42:04.034Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.353Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.schemas.training.html</loc>
-    <lastmod>2025-04-07T16:42:03.897Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.218Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/datasets.html</loc>
-    <lastmod>2025-04-07T16:42:02.857Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.249Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/kernels.geglu.html</loc>
-    <lastmod>2025-04-07T16:42:03.600Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.922Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/monkeypatch.llama_attn_hijack_flash.html</loc>
-    <lastmod>2025-04-07T16:42:03.643Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.968Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/cli.sweeps.html</loc>
-    <lastmod>2025-04-07T16:42:03.251Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.579Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.freeze.html</loc>
-    <lastmod>2025-04-07T16:42:03.799Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.121Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/monkeypatch.multipack.html</loc>
-    <lastmod>2025-04-07T16:42:03.660Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.985Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/cli.main.html</loc>
-    <lastmod>2025-04-07T16:42:03.106Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.477Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/core.trainers.trl.html</loc>
-    <lastmod>2025-04-07T16:42:03.328Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.655Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/prompt_strategies.dpo.passthrough.html</loc>
-    <lastmod>2025-04-07T16:42:03.466Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.791Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/core.chat.format.llama3x.html</loc>
-    <lastmod>2025-04-07T16:42:03.061Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.432Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/core.datasets.transforms.chat_builder.html</loc>
-    <lastmod>2025-04-07T16:42:03.075Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.446Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/prompt_strategies.kto.user_defined.html</loc>
-    <lastmod>2025-04-07T16:42:03.483Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.808Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.collators.mamba.html</loc>
-    <lastmod>2025-04-07T16:42:04.091Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.414Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/integrations.base.html</loc>
-    <lastmod>2025-04-07T16:42:04.019Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.339Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.bench.html</loc>
-    <lastmod>2025-04-07T16:42:03.791Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.114Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/kernels.swiglu.html</loc>
-    <lastmod>2025-04-07T16:42:03.609Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.932Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/core.chat.format.shared.html</loc>
-    <lastmod>2025-04-07T16:42:03.062Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.434Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/integrations.cut_cross_entropy.args.html</loc>
-    <lastmod>2025-04-07T16:42:04.022Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.342Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/core.datasets.chat.html</loc>
-    <lastmod>2025-04-07T16:42:03.067Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.439Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.callbacks.lisa.html</loc>
-    <lastmod>2025-04-07T16:42:04.116Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.441Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/integrations.grokfast.optimizer.html</loc>
-    <lastmod>2025-04-07T16:42:04.023Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.343Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/prompt_strategies.alpaca_chat.html</loc>
-    <lastmod>2025-04-07T16:42:03.367Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.694Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/prompt_strategies.alpaca_instruct.html</loc>
-    <lastmod>2025-04-07T16:42:03.369Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.695Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/prompt_strategies.kto.chatml.html</loc>
-    <lastmod>2025-04-07T16:42:03.481Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.806Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.schemas.integrations.html</loc>
-    <lastmod>2025-04-07T16:42:03.943Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.264Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.schemas.trl.html</loc>
-    <lastmod>2025-04-07T16:42:03.926Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.247Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/prompt_tokenizers.html</loc>
-    <lastmod>2025-04-07T16:42:02.913Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.304Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.data.sft.html</loc>
-    <lastmod>2025-04-07T16:42:03.874Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.196Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.schedulers.html</loc>
-    <lastmod>2025-04-07T16:42:03.840Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.162Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.chat_templates.html</loc>
-    <lastmod>2025-04-07T16:42:03.774Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.096Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.models.html</loc>
-    <lastmod>2025-04-07T16:42:03.757Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.080Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/prompt_strategies.dpo.chatml.html</loc>
-    <lastmod>2025-04-07T16:42:03.461Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.786Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.distributed.html</loc>
-    <lastmod>2025-04-07T16:42:03.860Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.182Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/monkeypatch.utils.html</loc>
-    <lastmod>2025-04-07T16:42:03.699Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.023Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.schemas.utils.html</loc>
-    <lastmod>2025-04-07T16:42:03.955Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.276Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/monkeypatch.llama_expand_mask.html</loc>
-    <lastmod>2025-04-07T16:42:03.669Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.993Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/common.datasets.html</loc>
-    <lastmod>2025-04-07T16:42:04.060Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.380Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/logging_config.html</loc>
-    <lastmod>2025-04-07T16:42:02.920Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.308Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/kernels.quantize.html</loc>
-    <lastmod>2025-04-07T16:42:03.617Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.941Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/monkeypatch.llama_patch_multipack.html</loc>
-    <lastmod>2025-04-07T16:42:03.702Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.025Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.schemas.model.html</loc>
-    <lastmod>2025-04-07T16:42:03.892Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.213Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/monkeypatch.stablelm_attn_hijack_flash.html</loc>
-    <lastmod>2025-04-07T16:42:03.707Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.031Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/monkeypatch.mixtral.html</loc>
-    <lastmod>2025-04-07T16:42:03.728Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.052Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.tokenization.html</loc>
-    <lastmod>2025-04-07T16:42:03.764Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.087Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/integrations.kd.trainer.html</loc>
-    <lastmod>2025-04-07T16:42:04.030Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.350Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.schemas.datasets.html</loc>
-    <lastmod>2025-04-07T16:42:03.914Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.236Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.collators.core.html</loc>
-    <lastmod>2025-04-07T16:42:04.062Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.383Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/monkeypatch.btlm_attn_hijack_flash.html</loc>
-    <lastmod>2025-04-07T16:42:03.700Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.024Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.optimizers.adopt.html</loc>
-    <lastmod>2025-04-07T16:42:03.871Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.193Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/prompt_strategies.input_output.html</loc>
-    <lastmod>2025-04-07T16:42:03.413Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.739Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/index.html</loc>
-    <lastmod>2025-04-07T16:42:02.778Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.172Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/cli.cloud.modal_.html</loc>
-    <lastmod>2025-04-07T16:42:03.297Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.624Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/prompt_strategies.dpo.llama3.html</loc>
-    <lastmod>2025-04-07T16:42:03.451Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.776Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/cli.train.html</loc>
-    <lastmod>2025-04-07T16:42:03.114Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.485Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/core.trainer_builder.html</loc>
-    <lastmod>2025-04-07T16:42:02.943Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.323Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.callbacks.perplexity.html</loc>
-    <lastmod>2025-04-07T16:42:04.110Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.436Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/getting-started.html</loc>
-    <lastmod>2025-04-07T16:41:27.521Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.449Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/dataset_loading.html</loc>
-    <lastmod>2025-04-07T16:41:27.521Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.449Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/batch_vs_grad.html</loc>
-    <lastmod>2025-04-07T16:41:27.520Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.448Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/faq.html</loc>
-    <lastmod>2025-04-07T16:41:27.521Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.449Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/debugging.html</loc>
-    <lastmod>2025-04-07T16:41:27.521Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.449Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/lr_groups.html</loc>
-    <lastmod>2025-04-07T16:41:27.524Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.452Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/TODO.html</loc>
-    <lastmod>2025-04-07T16:41:27.519Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.447Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/src/axolotl/integrations/LICENSE.html</loc>
-    <lastmod>2025-04-07T16:41:27.540Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.467Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/index.html</loc>
-    <lastmod>2025-04-07T16:41:27.537Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.464Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/src/axolotl/integrations/cut_cross_entropy/ACKNOWLEDGEMENTS.html</loc>
-    <lastmod>2025-04-07T16:41:27.540Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.468Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/FAQS.html</loc>
-    <lastmod>2025-04-07T16:41:27.519Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.447Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/multi-node.html</loc>
-    <lastmod>2025-04-07T16:41:27.524Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.452Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/sequence_parallelism.html</loc>
-    <lastmod>2025-04-07T16:41:27.524Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.452Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/multipack.html</loc>
-    <lastmod>2025-04-07T16:41:27.524Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.452Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/inference.html</loc>
-    <lastmod>2025-04-07T16:41:27.524Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.452Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/lora_optims.html</loc>
-    <lastmod>2025-04-07T16:41:27.524Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.452Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.lora_embeddings.html</loc>
-    <lastmod>2025-04-07T16:42:03.782Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.104Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/kernels.utils.html</loc>
-    <lastmod>2025-04-07T16:42:03.618Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.942Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/prompt_strategies.chat_template.html</loc>
-    <lastmod>2025-04-07T16:42:03.354Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.680Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/convert.html</loc>
-    <lastmod>2025-04-07T16:42:02.870Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.263Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/common.const.html</loc>
-    <lastmod>2025-04-07T16:42:04.043Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.363Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/cli.cloud.base.html</loc>
-    <lastmod>2025-04-07T16:42:03.291Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.618Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/monkeypatch.relora.html</loc>
-    <lastmod>2025-04-07T16:42:03.667Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.991Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.lora.html</loc>
-    <lastmod>2025-04-07T16:42:03.779Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.101Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/cli.merge_lora.html</loc>
-    <lastmod>2025-04-07T16:42:03.225Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.554Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/prompt_strategies.bradley_terry.llama3.html</loc>
-    <lastmod>2025-04-07T16:42:03.507Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.831Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/cli.merge_sharded_fsdp_weights.html</loc>
-    <lastmod>2025-04-07T16:42:03.237Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.566Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/integrations.spectrum.args.html</loc>
-    <lastmod>2025-04-07T16:42:04.040Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.360Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/models.mamba.modeling_mamba.html</loc>
-    <lastmod>2025-04-07T16:42:04.061Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.381Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/common.architectures.html</loc>
-    <lastmod>2025-04-07T16:42:04.042Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.361Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.trainer.html</loc>
-    <lastmod>2025-04-07T16:42:03.815Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.138Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.callbacks.comet_.html</loc>
-    <lastmod>2025-04-07T16:42:04.123Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.448Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/cli.vllm_serve.html</loc>
-    <lastmod>2025-04-07T16:42:03.287Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.614Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.schemas.multimodal.html</loc>
-    <lastmod>2025-04-07T16:42:03.931Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.252Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.gradient_checkpointing.unsloth.html</loc>
-    <lastmod>2025-04-07T16:42:03.877Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.199Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/core.trainers.base.html</loc>
-    <lastmod>2025-04-07T16:42:03.311Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.638Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/monkeypatch.unsloth_.html</loc>
-    <lastmod>2025-04-07T16:42:03.718Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.042Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.samplers.multipack.html</loc>
-    <lastmod>2025-04-07T16:42:04.104Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.429Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.callbacks.profiler.html</loc>
-    <lastmod>2025-04-07T16:42:04.114Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.439Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/integrations.lm_eval.args.html</loc>
-    <lastmod>2025-04-07T16:42:04.037Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.357Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.data.pretraining.html</loc>
-    <lastmod>2025-04-07T16:42:03.872Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.194Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/evaluate.html</loc>
-    <lastmod>2025-04-07T16:42:02.849Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.242Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.dict.html</loc>
-    <lastmod>2025-04-07T16:42:03.863Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.185Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/cli.utils.html</loc>
-    <lastmod>2025-04-07T16:42:03.283Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.610Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/prompt_strategies.pygmalion.html</loc>
-    <lastmod>2025-04-07T16:42:03.435Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.761Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/core.training_args.html</loc>
-    <lastmod>2025-04-07T16:42:03.035Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.407Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/cli.inference.html</loc>
-    <lastmod>2025-04-07T16:42:03.217Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.546Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/kernels.lora.html</loc>
-    <lastmod>2025-04-07T16:42:03.589Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.912Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/cli.evaluate.html</loc>
-    <lastmod>2025-04-07T16:42:03.122Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.493Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.collators.batching.html</loc>
-    <lastmod>2025-04-07T16:42:04.088Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.410Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/prompt_strategies.completion.html</loc>
-    <lastmod>2025-04-07T16:42:03.407Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.733Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/prompt_strategies.dpo.zephyr.html</loc>
-    <lastmod>2025-04-07T16:42:03.463Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.788Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/prompt_strategies.metharme.html</loc>
-    <lastmod>2025-04-07T16:42:03.425Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.750Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/prompt_strategies.orpo.chat_template.html</loc>
-    <lastmod>2025-04-07T16:42:03.504Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.828Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/prompt_strategies.alpaca_w_system.html</loc>
-    <lastmod>2025-04-07T16:42:03.381Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.707Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.model_shard_quant.html</loc>
-    <lastmod>2025-04-07T16:42:03.787Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.110Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/cli.config.html</loc>
-    <lastmod>2025-04-07T16:42:03.192Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.532Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.schemas.enums.html</loc>
-    <lastmod>2025-04-07T16:42:03.949Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.271Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/cli.preprocess.html</loc>
-    <lastmod>2025-04-07T16:42:03.245Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.574Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/core.chat.messages.html</loc>
-    <lastmod>2025-04-07T16:42:03.058Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.429Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/prompt_strategies.dpo.chat_template.html</loc>
-    <lastmod>2025-04-07T16:42:03.441Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.766Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.schemas.peft.html</loc>
-    <lastmod>2025-04-07T16:42:03.922Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.244Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/train.html</loc>
-    <lastmod>2025-04-07T16:42:02.839Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.232Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/prompt_strategies.messages.chat.html</loc>
-    <lastmod>2025-04-07T16:42:03.440Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.765Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/prompt_strategies.orcamini.html</loc>
-    <lastmod>2025-04-07T16:42:03.429Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.754Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.collators.mm_chat.html</loc>
-    <lastmod>2025-04-07T16:42:04.096Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.420Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/prompt_strategies.kto.llama3.html</loc>
-    <lastmod>2025-04-07T16:42:03.473Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.799Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/monkeypatch.attention.mllama.html</loc>
-    <lastmod>2025-04-07T16:42:03.725Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.049Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/cli.checks.html</loc>
-    <lastmod>2025-04-07T16:42:03.161Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.515Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/monkeypatch.transformers_fa_utils.html</loc>
-    <lastmod>2025-04-07T16:42:03.717Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.041Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/monkeypatch.llama_attn_hijack_xformers.html</loc>
-    <lastmod>2025-04-07T16:42:03.645Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.969Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/core.trainers.dpo.trainer.html</loc>
-    <lastmod>2025-04-07T16:42:03.334Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.661Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/prompt_strategies.user_defined.html</loc>
-    <lastmod>2025-04-07T16:42:03.389Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.715Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/cli.args.html</loc>
-    <lastmod>2025-04-07T16:42:03.150Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.509Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/prompt_strategies.llama2_chat.html</loc>
-    <lastmod>2025-04-07T16:42:03.401Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.728Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/utils.schemas.config.html</loc>
-    <lastmod>2025-04-07T16:42:03.885Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.207Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/core.trainers.grpo.trainer.html</loc>
-    <lastmod>2025-04-07T16:42:03.338Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.664Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/core.chat.format.chatml.html</loc>
-    <lastmod>2025-04-07T16:42:03.059Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.431Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/monkeypatch.lora_kernels.html</loc>
-    <lastmod>2025-04-07T16:42:03.691Z</lastmod>
+    <lastmod>2025-04-07T18:48:41.015Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/api/prompt_strategies.base.html</loc>
-    <lastmod>2025-04-07T16:42:03.339Z</lastmod>
+    <lastmod>2025-04-07T18:48:40.666Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/rlhf.html</loc>
-    <lastmod>2025-04-07T16:41:27.524Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.452Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/cli.html</loc>
-    <lastmod>2025-04-07T16:41:27.520Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.448Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/unsloth.html</loc>
-    <lastmod>2025-04-07T16:41:27.524Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.452Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/fsdp_qlora.html</loc>
-    <lastmod>2025-04-07T16:41:27.521Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.449Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/dataset_preprocessing.html</loc>
-    <lastmod>2025-04-07T16:41:27.521Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.449Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/custom_integrations.html</loc>
-    <lastmod>2025-04-07T16:41:27.521Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.448Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/mac.html</loc>
-    <lastmod>2025-04-07T16:41:27.524Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.452Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/docker.html</loc>
-    <lastmod>2025-04-07T16:41:27.521Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.449Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/ray-integration.html</loc>
-    <lastmod>2025-04-07T16:41:27.524Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.452Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/dataset-formats/index.html</loc>
-    <lastmod>2025-04-07T16:41:27.521Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.448Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/dataset-formats/conversation.html</loc>
-    <lastmod>2025-04-07T16:41:27.521Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.448Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/dataset-formats/pretraining.html</loc>
-    <lastmod>2025-04-07T16:41:27.521Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.449Z</lastmod>
   </url>
   <url>
     <loc>https://axolotl-ai-cloud.github.io/axolotl/docs/dataset-formats/inst_tune.html</loc>
-    <lastmod>2025-04-07T16:41:27.521Z</lastmod>
+    <lastmod>2025-04-07T18:48:09.448Z</lastmod>
   </url>
 </urlset>