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microsoft · Jan 30, 2025 · b201775 · b201775
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diff --git a/docs/source/reference/options.md b/docs/source/reference/options.md
@@ -409,8 +409,9 @@ Please also find the detailed options from following table for each pass:
 | [CaptureSplitInfo](../../reference/pass.rst#_capture_split_info) | Capture the split information of the model layers. Only splits the transformer layers. |
 | [SplitModel](../../reference/pass.rst#_split_model) | Split an ONNX model into multiple smaller sub-models based on predefined assignments. |
 | [LoRA](../../reference/pass.rst#_lora) | Run LoRA fine-tuning on a Hugging Face PyTorch model. |
-| [QLoRA](../../reference/pass.rst#_qlora) | Run QLoRA fine-tuning on a Hugging Face PyTorch model. |
 | [LoHa](../../reference/pass.rst#_loha) | Run LoHa fine-tuning on a Hugging Face PyTorch model. |
+| [LoKr](../../reference/pass.rst#_lokr) | Run LoKr fine-tuning on a Hugging Face PyTorch model. |
+| [QLoRA](../../reference/pass.rst#_qlora) | Run QLoRA fine-tuning on a Hugging Face PyTorch model. |
 | [LoftQ](../../reference/pass.rst#_loftq) | Run LoftQ fine-tuning on a Hugging Face PyTorch model. |
 | [QuantizationAwareTraining](../../reference/pass.rst#_onnx_quantization_aware_training) | Run quantization aware training on PyTorch model. |
 | [OpenVINOConversion](../../reference/pass.rst#_openvino_conversion) | Converts PyTorch, ONNX or TensorFlow Model to OpenVino Model. |

diff --git a/docs/source/reference/pass.rst b/docs/source/reference/pass.rst
@@ -191,18 +191,24 @@ LoRA
 ----
 .. autoconfigclass:: olive.passes.LoRA
 
-.. _qlora:
-
-QLoRA
------
-.. autoconfigclass:: olive.passes.QLoRA
-
 .. _loha:
 
 LoHa
 -----
 .. autoconfigclass:: olive.passes.LoHa
 
+.. _lokr:
+
+LoKr
+-----
+.. autoconfigclass:: olive.passes.LoKr
+
+.. _qlora:
+
+QLoRA
+-----
+.. autoconfigclass:: olive.passes.QLoRA
+
 .. _loftq:
 
 LoftQ