diff --git a/docs/mindformers/docs/source_en/env_variables.md b/docs/mindformers/docs/source_en/env_variables.md
index 615a8fdf4463f4e270df02295949aed6fd187b77..4164330c4ff6da39053779addc8369badfa15bde 100644
--- a/docs/mindformers/docs/source_en/env_variables.md
+++ b/docs/mindformers/docs/source_en/env_variables.md
@@ -32,8 +32,8 @@ The following environment variables are supported by MindSpore Transformers.
| **USE_ROPE_SELF_DEFINE** | true | Whether to enable ROPE fusion operator. | `true`: enable ROPE fusion operator;
`false`: disable ROPE fusion operator. | Enabling the ROPE fusion operator by default can improve the computation efficiency. Except for debugging scenarios, turn it off as needed, and generally do not make special settings. |
| **MS_ENABLE_INTERNAL_BOOST** | on | Whether to turn on the internal acceleration of the MindSpore framework. | `on`: turn on MindSpore internal acceleration;
`off`: turn off MindSpore internal acceleration. | In order to achieve high-performance inference, this parameter is turned on by default. In cases where debugging or comparing different acceleration strategies is performed, this parameter needs to be turned off to observe the impact on performance. |
| **MS_GE_ATOMIC_CLEAN_POLICY** | 1 | Whether to clean up the memory occupied by atomic operators in the network. | `0`: centralized cleanup of memory occupied by all atomic operators in the network;
`1`: no centralized memory cleanup, individual zeroing of each atomic operator in the network. | The switch is set to `1` by default, which makes it easy for the user to process each operator individually, allowing operations such as operator memory reuse. Setting it to `0` centrally cleans up the memory occupied by the operators. |
-| **ENABLE_LAZY_INLINE** | 1 | Whether to enable lazy inline. | `0`: turn off lazy inline;
`1`: turn on lazy inline. | Available under mindspore ≥ 2.2.0. It is usually used during pipeline parallelism to improve compilation performance. It is enabled by default and can be configured to be disabled. |
-| **ENABLE_LAZY_INLINE_NO_PIPELINE** | 0 | Whether to enable lazy inline under non-pipeline parallel. | `0`: turn off lazy inline;
`1`: turn on lazy inline. |The lazy inline feature is only enabled in pipeline parallel mode by default. To enable lazy inline in other parallel modes, set this environment variable to 1. |
+| **ENABLE_LAZY_INLINE** | 1 | Whether to enable lazy inline. This variable is deprecated and will be removed in a future release. Its functionality is now enabled by default. | `0`: turn off lazy inline;
`1`: turn on lazy inline. | Available under mindspore ≥ 2.2.0. It is usually used during pipeline parallelism to improve compilation performance. It is enabled by default and can be configured to be disabled. |
+| **ENABLE_LAZY_INLINE_NO_PIPELINE** | 0 | Whether to enable lazy inline under non-pipeline parallel. This variable is deprecated and will be removed in a future release. Its functionality is now enabled by default. | `0`: turn off lazy inline;
`1`: turn on lazy inline. |The lazy inline feature is only enabled in pipeline parallel mode by default. To enable lazy inline in other parallel modes, set this environment variable to 1. |
| **MS_ASCEND_CHECK_OVERFLOW_MODE** | INFNAN_MODE | Sets the overflow detection mode. | `SATURATION_MODE`: saturation mode, saturates to floating-point extremes (+-MAX) when the calculation overflows;
`INFNAN_MODE`: INF/NAN mode, follows the IEEE 754 standard, and outputs INF/NAN calculations as defined. | In large model tuning, the overflow state is aligned PyTorch and it is recommended to use INFNAN_MODE, i.e. export MS_ASCEND_CHECK_OVERFLOW_MODE=INFNAN_MODE.
Try setting this variable to INFNAN_MODE when encountering persistent overflow problems. |
| **MF_LOG_SUFFIX** | NA | Set custom suffixes for all log log folders. | Suffix for the log folder. Default: no suffix | Adding a consistent suffix isolates logs across tasks from being overwritten. |
| **PLOG_REDIRECT_TO_OUTPUT** | False | Controls whether plog logs change storage paths. | `True`: store the logs in the ./output directory;
`False`: Store to the default storage location. | This setting makes it easier to query the plog log. |
diff --git a/docs/mindformers/docs/source_zh_cn/env_variables.md b/docs/mindformers/docs/source_zh_cn/env_variables.md
index 5515c8984b5abb617dab85ede6d8381ea3ff3d32..e8b5de5990c5c16edd8ece073e8d405cdfc985f8 100644
--- a/docs/mindformers/docs/source_zh_cn/env_variables.md
+++ b/docs/mindformers/docs/source_zh_cn/env_variables.md
@@ -32,8 +32,8 @@
| **USE_ROPE_SELF_DEFINE** | true | 是否使用 ROPE 融合算子。 | `true`：使用 ROPE 融合算子；
`false`：不使用 ROPE 融合算子。 | 默认开启 ROPE 融合算子可以提升计算效率。除调试场景，根据需要进行关闭，一般不作特别设置。 |
| **MS_ENABLE_INTERNAL_BOOST** | on | 是否打开 MindSpore 框架的内部加速功能。 | `on`：开启 MindSpore 内部加速；
`off`：关闭 MindSpore 内部加速。 | 为了实现高性能推理，该配置默认开启。在进行调试或对比不同加速策略的情况下，需要关闭此参数以观察对性能的影响。 |
| **MS_GE_ATOMIC_CLEAN_POLICY** | 1 | 是否集中清理网络中 atomic 算子占用的内存。 | `0`：集中清理网络中所有 atomic 算子占用的内存；
`1`：不集中清理内存，对网络中每一个 atomic 算子进行单独清零。 | 开关默认设置为`1`，方便用户对每个算子进行单独处理，可以进行算子内存复用等操作。设置为`0`后，集中清理算子所占内存。 |
-| **ENABLE_LAZY_INLINE** | 1 | 是否开启 lazy inline。 | `0`：关闭 lazy inline；
`1`：开启 lazy inline。 | 此特性在 mindspore≥2.2.0 下适用。通常在 pipeline 并行时使用以提高编译性能。默认开启，可配置关闭。 |
-| **ENABLE_LAZY_INLINE_NO_PIPELINE** | 0 | 是否开启在非 pipeline 并行下的 lazy inline。 | `0`：关闭 lazy inline；
`1`：开启 lazy inline。 | lazy inline 特性默认仅在 pipeline 并行模式下开启。如需在其他并行模式下使能 lazy inline，可将该环境变量设置为 1。 |
+| **ENABLE_LAZY_INLINE** | 1 | 是否开启 lazy inline。此参数即将废弃，后续默认开启。 | `0`：关闭 lazy inline；
`1`：开启 lazy inline。 | 此特性在 mindspore≥2.2.0 下适用。通常在 pipeline 并行时使用以提高编译性能。默认开启，可配置关闭。 |
+| **ENABLE_LAZY_INLINE_NO_PIPELINE** | 0 | 是否开启在非 pipeline 并行下的 lazy inline。此参数即将废弃，后续默认开启。 | `0`：关闭 lazy inline；
`1`：开启 lazy inline。 | lazy inline 特性默认仅在 pipeline 并行模式下开启。如需在其他并行模式下使能 lazy inline，可将该环境变量设置为 1。 |
| **MS_ASCEND_CHECK_OVERFLOW_MODE** | INFNAN_MODE | 设置浮点计算结果输出模式。 | `SATURATION_MODE`：饱和模式，计算出现溢出时，饱和为浮点数极值（+-MAX）；
`INFNAN_MODE`：INF/NAN 模式，遵循 IEEE 754 标准，根据定义输出 INF/NAN 的计算结果。 | 在大模型调优中，溢出状态对齐 PyTorch 方式，建议使用 INFNAN_MODE，即 export MS_ASCEND_CHECK_OVERFLOW_MODE=INFNAN_MODE。
遇到持续溢出问题时可尝试设置此变量为 INFNAN_MODE。 |
| **MF_LOG_SUFFIX** | NA | 设置所有 log 日志文件夹的自定义后缀。 | log 文件夹的后缀。默认值：无后缀 | 添加一致的后缀，可以隔离各个任务的日志，不会被覆写。 |
| **PLOG_REDIRECT_TO_OUTPUT** | False | 控制 plog 日志是否改变存储路径。 | `True`:存储到./output 目录下;
`False`: 存储到默认存储位置。 | 设置之后方便用户查询 plog 日志。 |