diff --git a/docs/toolchain/quantization/1.2_Flow_and_Steps.md b/docs/toolchain/quantization/1.2_Flow_and_Steps.md
index 74bbbbd..b338fcd 100644
--- a/docs/toolchain/quantization/1.2_Flow_and_Steps.md
+++ b/docs/toolchain/quantization/1.2_Flow_and_Steps.md
@@ -76,7 +76,7 @@ In this stage, you will complete the conversion from a floating-point model to a
| 12 | outlier_factor | Parameter Usage: Used under 'mmse' mode.The factor applied on outliers.
Range: 1.0 ~ 2.0 or higher.
Default value: 1.0
Description: For example, if clamping data is sensitive to your model, set outlier_factor to 2 or higher. Higher outlier_factor will reduce outlier removal by increasing range. | Optional |
| 13 | quantize_mode | Parameter Usage: Need extra tuning or not.
Range: "default" / "post_sigmoid"
Default value: "default"
Description: If a model's output nodes were ALL sigmoids and had been removed, choose "post_sigmoid" for better performance. | Optional |
| 14 | quan_config | Parameter Usage: User can pass in a dictionary to set constraints for quantization.
Range: N/A
Default value: None
Description: Set scale, radix, min/max value for specific operator node. | Optional |
-| 15 | fm_cut | Parameter Usage: Methods to search for best feature map cut.
Range: "default" / "deep_search" / "performance" (not available yet)
Default value: "default"
Description: To improve the efficiency of NPU. | Optional |
+| 15 | compiler_tiling | Parameter Usage: Methods to search for best feature map cut.
Range: "default" / "deep_search" / "performance" (not available yet)
Default value: "default"
Description: To improve the efficiency of NPU. | Optional |
| 16 | p_output | Parameter Usage: Location to save the generated fix models.
Range: N/A
Default value: "/data1/kneron_flow"
Description: | Optional |
| 17 | weight_bandwidth | Parameter Usage: Set the weight bandwidth.
Range:
Default value: None
Description: | Optional |
| 18 | dma_bandwidth | Parameter Usage: Set the dma bandwidth.
Range:
Default value: None
Description: | Optional |