diff --git "a/docs/source/LLM/\345\221\275\344\273\244\350\241\214\345\217\202\346\225\260.md" "b/docs/source/LLM/\345\221\275\344\273\244\350\241\214\345\217\202\346\225\260.md"
index 648e8e0cc..01c35154d 100644
--- "a/docs/source/LLM/\345\221\275\344\273\244\350\241\214\345\217\202\346\225\260.md"
+++ "b/docs/source/LLM/\345\221\275\344\273\244\350\241\214\345\217\202\346\225\260.md"
@@ -23,7 +23,7 @@
 - `--sft_type`: 表示微调的方式, 默认是`'lora'`. 你可以选择的值包括: 'lora', 'full', 'longlora', 'adalora', 'ia3', 'llamapro', 'adapter', 'vera', 'boft'. 如果你要使用qlora, 你需设置`--sft_type lora --quantization_bit 4`.
 - `--packing`: pack数据集到`max-length`, 默认值`False`.
 - `--freeze_parameters`: 当sft_type指定为'full'时, 将模型最底部的参数进行freeze. 指定范围为0. ~ 1., 默认为`0.`. 该参数提供了lora与全参数微调的折中方案.
-- `--additional_trainable_parameters`: 作为freeze_parameters的补充, 只有在sft_type指定为'full'才允许被使用, 默认为`[]`. 例如你如果想训练50%的参数的情况下想额外训练embedding层, 你可以设置`--freeze_parameters 0.5 --additional_trainable_parameters transformer.wte`, 所有以`transformer.wte`开头的parameters都会被激活.
+- `--additional_trainable_parameters`: 作为freeze_parameters的补充, 只有在sft_type指定为'full'才允许被使用, 默认为`[]`. 例如你如果想训练50%的参数的情况下想额外训练embedding层, 你可以设置`--freeze_parameters 0.5 --additional_trainable_parameters transformer.wte`, 所有以`transformer.wte`开头的parameters都会被激活. 你也可以设置`--freeze_parameters 1 --additional_trainable_parameters xxx`来自定义可以训练的层.
 - `--tuner_backend`: 表示lora, qlora的后端支持, 默认是`'peft'`. 你可以选择的值包括: 'swift', 'peft', 'unsloth'.
 - `--template_type`: 表示使用的对话模板的类型, 默认是`'AUTO'`, 即根据`model_type`查找`MODEL_MAPPING`中的`template`. 可以选择的`template_type`可以查看`TEMPLATE_MAPPING.keys()`.
 - `--output_dir`: 表示ckpt存储的目录, 默认是`'output'`. 我们会在该目录后拼接`model_type`和微调版本号. 方便用户对不同模型进行多次对比实验, 而不需要改变`output_dir`命令行参数. 如果不需要拼接这些内容, 你需要额外指定参数`--add_output_dir_suffix false`.
diff --git a/docs/source_en/LLM/Command-line-parameters.md b/docs/source_en/LLM/Command-line-parameters.md
index 388d398dc..ca61d8f45 100644
--- a/docs/source_en/LLM/Command-line-parameters.md
+++ b/docs/source_en/LLM/Command-line-parameters.md
@@ -22,7 +22,7 @@
 - `--sft_type`: Fine-tuning method, default is `'lora'`. Options include: 'lora', 'full', 'longlora', 'adalora', 'ia3', 'llamapro', 'adapter', 'vera', 'boft'. If using qlora, you need to set `--sft_type lora --quantization_bit 4`.
 - `--packing`: pack the dataset length to `max-length`, default `False`.
 - `--freeze_parameters`: When sft_type is set to 'full', freeze the bottommost parameters of the model. Range is 0. ~ 1., default is `0.`. This provides a compromise between lora and full fine-tuning.
-- `--additional_trainable_parameters`: In addition to freeze_parameters, only allowed when sft_type is 'full', default is `[]`. For example, if you want to train embedding layer in addition to 50% of parameters, you can set `--freeze_parameters 0.5 --additional_trainable_parameters transformer.wte`, all parameters starting with `transformer.wte` will be activated.
+- `--additional_trainable_parameters`: In addition to freeze_parameters, only allowed when sft_type is 'full', default is `[]`. For example, if you want to train embedding layer in addition to 50% of parameters, you can set `--freeze_parameters 0.5 --additional_trainable_parameters transformer.wte`, all parameters starting with `transformer.wte` will be activated. You can also set `--freeze_parameters 1 --additional_trainable_parameters xxx` to customize the trainable layers.
 - `--tuner_backend`: Backend support for lora, qlora, default is `'peft'`. Options include: 'swift', 'peft', 'unsloth'.
 - `--template_type`: Type of dialogue template used, default is `'AUTO'`, i.e. look up `template` in `MODEL_MAPPING` based on `model_type`. Available `template_type` options can be found in `TEMPLATE_MAPPING.keys()`.
 - `--output_dir`: Directory to store ckpt, default is `'output'`. We will append `model_type` and fine-tuning version number to this directory, allowing users to do multiple comparative experiments on different models without changing the `output_dir` command line argument. If you don't want to append this content, specify `--add_output_dir_suffix false`.
diff --git a/requirements/framework.txt b/requirements/framework.txt
index e777b6e11..b7d8895f4 100644
--- a/requirements/framework.txt
+++ b/requirements/framework.txt
@@ -1,14 +1,18 @@
 accelerate
+addict
 aiohttp
 binpacking
 dacite
 datasets<2.19
+einops
+importlib_metadata
 jieba
 matplotlib
 modelscope>=1.14
 nltk
 numpy<2.0
 optimum>=1.17.0
+oss2
 pandas
 peft>=0.11.0,<0.12.0
 requests