Merge pull request #69 from FederatedAI/feature-2.0.0-update_doc

update readme

README.md

@@ -17,13 +17,14 @@ FATE-LLM is a framework to support federated learning for large language models(
 
 ### Standalone deployment
 Please refer to [FATE-Standalone deployment](https://github.com/FederatedAI/FATE#standalone-deployment).  
-Deploy FATE-Standalone version with 1.11.3 <= version < 2.0, then copy directory `python/fate_llm` to `{fate_install}/fate/python/fate_llm`
+* To deploy FATE-LLM v2.0, deploy FATE-Standalone with version >= 2.1, then make a new directory `{fate_install}/fate_llm` and clone the code into it, install the python requirements, and add `{fate_install}/fate_llm/python` to `PYTHONPATH` 
+* To deploy FATE-LLM v1.x, deploy FATE-Standalone with 1.11.3 <= version < 2.0, then copy directory `python/fate_llm` to `{fate_install}/fate/python/fate_llm` 
 
 ### Cluster deployment
 Use [FATE-LLM deployment packages](https://github.com/FederatedAI/FATE/wiki/Download#llm%E9%83%A8%E7%BD%B2%E5%8C%85) to deploy,  refer to [FATE-Cluster deployment](https://github.com/FederatedAI/FATE#cluster-deployment) for more deployment details.
 
 ## Quick Start
 - [Federated ChatGLM3-6B Training](./doc/tutorial/parameter_efficient_llm/ChatGLM3-6B_ds.ipynb)
-- [Builtin Models In PELLM](./doc/tutorial/builtin_models.md)
+- [Builtin Models In PELLM](./doc/tutorial/builtin_pellm_models.md)
 - [Offsite Tuning Tutorial](./doc/tutorial/offsite_tuning/Offsite_tuning_tutorial.ipynb)
 - [FedKSeed](./doc/tutorial/fedkseed/fedkseed-example.ipynb)

doc/tutorial/builtin_pellm_models.md

@@ -6,13 +6,12 @@ After reading the training tutorial above, it's easy to use other models listing
 
 
 | Model          | ModuleName        | ClassName     | DataSetName     | 
-| -------------- | ----------------- | --------------| --------------- |                 |
+| -------------- | ----------------- | --------------| --------------- |                 
 | Qwen2          | pellm.qwen        | Qwen          | prompt_dataset  |                              
 | Bloom-7B1      | pellm.bloom       | Bloom         | prompt_dataset  |                              
 | LLaMA-2-7B     | pellm.llama       | LLaMa         | prompt_dataset  |                              
 | LLaMA-7B       | pellm.llama       | LLaMa         | prompt_dataset  |                              
 | ChatGLM3-6B    | pellm.chatglm     | ChatGLM       | prompt_dataset  |                              
-| ChatGLM-6B     | pellm.chatglm     | ChatGLM       | prompt_dataset  |                              
 | GPT-2          | pellm.gpt2        | GPT2          | seq_cls_dataset |                              
 | ALBERT         | pellm.albert      | Albert        | seq_cls_dataset |                              
 | BART           | pellm.bart        | Bart          | seq_cls_dataset |