diff --git a/.nojekyll b/.nojekyll
index fbc726c4b..f021f0ddd 100644
--- a/.nojekyll
+++ b/.nojekyll
@@ -1 +1 @@
-616b3c49
\ No newline at end of file
+1f653d45
\ No newline at end of file
diff --git a/docs/nd_parallelism.html b/docs/nd_parallelism.html
index c65b4fd77..60e725add 100644
--- a/docs/nd_parallelism.html
+++ b/docs/nd_parallelism.html
@@ -600,6 +600,19 @@ gtag('config', 'G-9KYCVJBNMQ', { 'anonymize_ip': true});
 </section>
 <section id="examples" class="level2">
 <h2 class="anchored" data-anchor-id="examples">Examples</h2>
+<div class="callout callout-style-default callout-tip callout-titled">
+<div class="callout-header d-flex align-content-center">
+<div class="callout-icon-container">
+<i class="callout-icon"></i>
+</div>
+<div class="callout-title-container flex-fill">
+Tip
+</div>
+</div>
+<div class="callout-body-container callout-body">
+<p>See our example configs <a href="https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/distributed-parallel">here</a>.</p>
+</div>
+</div>
 <ol type="1">
 <li>HSDP on 2 nodes with 4 GPUs each (8 GPUs total):
 <ul>
diff --git a/search.json b/search.json
index 064bb0fda..139d02d18 100644
--- a/search.json
+++ b/search.json
@@ -1632,7 +1632,7 @@
     "href": "docs/nd_parallelism.html#examples",
     "title": "N-D Parallelism (Beta)",
     "section": "Examples",
-    "text": "Examples\n\nHSDP on 2 nodes with 4 GPUs each (8 GPUs total):\n\nYou want FSDP within each node and DDP across nodes.\nSet dp_shard_size: 4 and dp_replicate_size: 2.\n\nFSDP + TP on a single 8-GPU node:\n\nYou want to split the model across 4 GPUs using FSDP, and further split each layer across 2 GPUs with TP.\nSet dp_shard_size: 4 and tensor_parallel_size: 2.\n\nFSDP + CP on a single 8-GPU node for long context:\n\nYou want to shard the model across all 8 GPUs and also split the sequence length across all 8 GPUs.\nSet dp_shard_size: 8 and context_parallel_size: 8. Note: this means the data parallel group and context parallel group are the same. A more common setup might be to shard across a smaller group.",
+    "text": "Examples\n\n\n\n\n\n\nTip\n\n\n\nSee our example configs here.\n\n\n\nHSDP on 2 nodes with 4 GPUs each (8 GPUs total):\n\nYou want FSDP within each node and DDP across nodes.\nSet dp_shard_size: 4 and dp_replicate_size: 2.\n\nFSDP + TP on a single 8-GPU node:\n\nYou want to split the model across 4 GPUs using FSDP, and further split each layer across 2 GPUs with TP.\nSet dp_shard_size: 4 and tensor_parallel_size: 2.\n\nFSDP + CP on a single 8-GPU node for long context:\n\nYou want to shard the model across all 8 GPUs and also split the sequence length across all 8 GPUs.\nSet dp_shard_size: 8 and context_parallel_size: 8. Note: this means the data parallel group and context parallel group are the same. A more common setup might be to shard across a smaller group.",
     "crumbs": [
       "Advanced Features",
       "N-D Parallelism (Beta)"
diff --git a/sitemap.xml b/sitemap.xml
index 4dd89bf88..558e1be36 100644
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