diff --git a/docs/source/features/quantization.md b/docs/source/features/quantization.md
index 295314662f24..87d7bfcdf643 100644
--- a/docs/source/features/quantization.md
+++ b/docs/source/features/quantization.md
@@ -74,7 +74,7 @@ Follow this step-by-step guide to quantize a model:
 
 ```bash
 git clone https://github.com/NVIDIA/Model-Optimizer.git
-cd Model-Optimizer/examples/llm_ptq
+cd Model-Optimizer/examples/hf_ptq
 scripts/huggingface_example.sh --model <huggingface_model_card> --quant fp8
 ```
 
@@ -84,7 +84,7 @@ To generate the checkpoint for NVFP4 KV cache:
 
 ```bash
 git clone https://github.com/NVIDIA/Model-Optimizer.git
-cd Model-Optimizer/examples/llm_ptq
+cd Model-Optimizer/examples/hf_ptq
 scripts/huggingface_example.sh --model <huggingface_model_card> --quant fp8 --kv_cache_quant nvfp4
 ```
 
@@ -141,4 +141,4 @@ FP8 block wise scaling GEMM kernels for sm100/103 are using MXFP8 recipe (E4M3 a
 
 - [KV Cache Compression](kv-cache-compression.md)
 - [Pre-quantized Models by ModelOpt](https://huggingface.co/collections/nvidia/model-optimizer-66aa84f7966b3150262481a4)
-- [ModelOpt Support Matrix](https://nvidia.github.io/Model-Optimizer/guides/0_support_matrix.html)
+- [ModelOpt Support Matrix](https://nvidia.github.io/Model-Optimizer/guides/0_support_matrix.html)
\ No newline at end of file
diff --git a/docs/source/torch/features/quantization.md b/docs/source/torch/features/quantization.md
index 47cc745165b4..a74e53cac430 100644
--- a/docs/source/torch/features/quantization.md
+++ b/docs/source/torch/features/quantization.md
@@ -13,6 +13,6 @@ Or you can try the following commands to get a quantized model by yourself:
 
 ```bash
 git clone https://github.com/NVIDIA/Model-Optimizer.git
-cd Model-Optimizer/examples/llm_ptq
-scripts/huggingface_example.sh --model <huggingface_model_card> --quant fp8 --export_fmt hf
-```
+cd Model-Optimizer/examples/hf_ptq
+scripts/huggingface_example.sh --model <huggingface_model_card> --quant fp8
+```
\ No newline at end of file