feat(core): Multi-module dependency splitting

docs/getting_started/install/cluster/vms/index.md

@@ -6,7 +6,7 @@ Local cluster deployment
 
 **Installing Command-Line Tool**
 
-All operations below are performed using the `dbgpt` command. To use the `dbgpt` command, you need to install the DB-GPT project with `pip install -e .`. Alternatively, you can use `python pilot/scripts/cli_scripts.py` as a substitute for the `dbgpt` command.
+All operations below are performed using the `dbgpt` command. To use the `dbgpt` command, you need to install the DB-GPT project with `pip install -e ".[default]"`. Alternatively, you can use `python pilot/scripts/cli_scripts.py` as a substitute for the `dbgpt` command.
 
 ### Launch Model Controller
 

docs/getting_started/install/deploy/deploy.md

@@ -49,7 +49,7 @@ For the entire installation process of DB-GPT, we use the miniconda3 virtual env
 python>=3.10
 conda create -n dbgpt_env python=3.10
 conda activate dbgpt_env
-pip install -e .
+pip install -e ".[default]"
 ```
 Before use DB-GPT Knowledge
 ```bash

docs/getting_started/install/llm/llm.rst

@@ -6,7 +6,7 @@ DB-GPT provides a management and deployment solution for multiple models. This c
 
 
 Multi LLMs Support, Supports multiple large language models, currently supporting
-  - 🔥 InternLM(7b)
+  - 🔥 InternLM(7b,20b)
   - 🔥 Baichuan2(7b,13b)
   - 🔥 Vicuna-v1.5(7b,13b)
   - 🔥 llama-2(7b,13b,70b)