diff --git a/README.md b/README.md
index 6d098a9..d5fd01f 100644
--- a/README.md
+++ b/README.md
@@ -27,6 +27,267 @@
 [**简体中文**](README.zh.md) | [**Discord**](https://discord.gg/7uQnPuveTY) | [**Wechat**](https://github.com/eosphoros-ai/DB-GPT/blob/main/README.zh.md#%E8%81%94%E7%B3%BB%E6%88%91%E4%BB%AC) | [**Huggingface**](https://huggingface.co/eosphoros) | [**Community**](https://github.com/eosphoros-ai/community)
 </div>
 
+## Baseline
+- update time: 2023/12/08
+- metric: execution accuracy (ex)
+- more details refer to [docs/eval-llm-result.md](https://github.com/eosphoros-ai/DB-GPT-Hub/blob/main/docs/eval_llm_result.md)
+
+<table style="text-align: center;">
+  <tr>
+    <th style="text-align: center;">Model</th>
+    <th>Method</th>
+    <th>Easy</th>
+    <th>Medium</th>
+    <th>Hard</th>
+    <th>Extra</th>
+    <th>All</th>
+  </tr>
+  <tr >
+    <td></td>
+    <td>base</td>
+    <td>0</td>
+    <td>0</td>
+    <td>0</td>
+    <td>0</td>
+    <td>0</td>
+  </tr>
+  <tr>
+    <td>Llama2-7B-Chat</td>
+    <td>lora</td>
+    <td>0.887</td>
+    <td>0.641</td>
+    <td>0.489</td>
+    <td>0.331</td>
+    <td>0.626</td>
+  </tr>
+  <tr>
+    <td></td>
+    <td>qlora</td>
+    <td>0.847</td>
+    <td>0.623</td>
+    <td>0.466</td>
+    <td>0.361</td>
+    <td>0.608</td>
+  </tr>
+  <tr>
+    <td></td>
+    <td>base</td>
+    <td>0</td>
+    <td>0</td>
+    <td>0</td>
+    <td>0</td>
+    <td>0</td>
+  </tr>
+  <tr>
+    <td>Llama2-13B-Chat</td>
+    <td>lora</td>
+    <td>0.907</td>
+    <td>0.729</td>
+    <td>0.552</td>
+    <td>0.343</td>
+    <td>0.68</td>
+  </tr>
+  <tr>
+    <td></td>
+    <td>qlora</td>
+    <td>0.911</td>
+    <td>0.7</td>
+    <td>0.552</td>
+    <td>0.319</td>
+    <td>0.664</td>
+  </tr>
+  <tr>
+    <td></td>
+    <td>base</td>
+    <td>0.214</td>
+    <td>0.177</td>
+    <td>0.092</td>
+    <td>0.036</td>
+    <td>0.149</td>
+  </tr>
+  <tr>
+  <td>CodeLlama-7B-Instruct</td>
+    <td>lora</td>
+    <td>0.923</td>
+    <td>0.756</td>
+    <td>0.586</td>
+    <td>0.349</td>
+    <td>0.702</td>
+  </tr>
+  <tr>
+    <td></td>
+    <td>qlora</td>
+    <td>0.911</td>
+    <td>0.751</td>
+    <td>0.598</td>
+    <td>0.331</td>
+    <td>0.696</td>
+  </tr>
+  <tr>
+    <td></td>
+    <td>base</td>
+    <td>0.698</td>
+    <td>0.601</td>
+    <td>0.408</td>
+    <td>0.271</td>
+    <td>0.539</td>
+  </tr>
+  <tr>
+    <td>CodeLlama-13B-Instruct</td>
+    <td>lora</td>
+    <td>0.94</td>
+    <td>0.789</td>
+    <td>0.684</td>
+    <td>0.404</td>
+    <td>0.746</td>
+  </tr>
+  <tr>
+    <td></td>
+    <td>qlora</td>
+    <td>0.94</td>
+    <td>0.774</td>
+    <td>0.626</td>
+    <td>0.392</td>
+    <td>0.727</td>
+  </tr>
+  <tr>
+    <td></td>
+    <td>base</td>
+    <td>0.577</td>
+    <td>0.352</td>
+    <td>0.201</td>
+    <td>0.066</td>
+    <td>335</td>
+  </tr>
+  <tr>
+    <td>Baichuan2-7B-Chat</td>
+    <td>lora</td>
+    <td>0.871</td>
+    <td>0.63</td>
+    <td>0.448</td>
+    <td>0.295</td>
+    <td>0.603</td>
+  </tr>
+  <tr>
+  <td></td>
+    <td>qlora</td>
+    <td>0.891</td>
+    <td>0.637</td>
+    <td>0.489</td>
+    <td>0.331</td>
+    <td>0.624</td>
+  </tr>
+  <tr>
+    <td></td>
+    <td>base</td>
+    <td>0.581</td>
+    <td>0.413</td>
+    <td>0.264</td>
+    <td>0.187</td>
+    <td>0.392</td>
+  </tr>
+    <tr>
+    <td>Baichuan2-13B-Chat</td>
+    <td>lora</td>
+    <td>0.903</td>
+    <td>0.702</td>
+    <td>0.569</td>
+    <td>0.392</td>
+    <td>0.678</td>
+    </tr>
+  <tr>
+  <td></td>
+    <td>qlora</td>
+    <td>0.895</td>
+    <td>0.675</td>
+    <td>0.58</td>
+    <td>0.343</td>
+    <td>0.659</td>
+  </tr>
+  <tr>
+  <td></td>
+  <td>base</td>
+  <td>0.395</td>
+  <td>0.256</td>
+  <td>0.138</td>
+  <td>0.042</td>
+  <td>0.235</td>
+  </tr>
+<tr>
+<td>Qwen-7B-Chat</td>
+  <td>lora</td>
+  <td>0.855</td>
+  <td>0.688</td>
+  <td>0.575</td>
+  <td>0.331</td>
+  <td>0.652</td>
+  </tr>
+  <tr>
+    <td></td>
+    <td>qlora</td>
+    <td>0.911</td>
+    <td>0.675</td>
+    <td>0.575</td>
+    <td>0.343</td>
+    <td>0.662</td>
+  </tr>
+  <tr>
+  <td></td>
+  <td>base</td>
+  <td>0.871</td>
+  <td>0.632</td>
+  <td>0.368</td>
+  <td>0.181</td>
+  <td>0.573</td>
+  </tr>
+  <tr>
+    <td>Qwen-14B-Chat</td>
+    <td>lora</td>
+    <td>0.895</td>
+    <td>0.702</td>
+    <td>0.552</td>
+    <td>0.331</td>
+    <td>0.663</td>
+  </tr>
+  <tr>
+    <td></td>
+    <td>qlora</td>
+    <td>0.919</td>
+    <td>0.744</td>
+    <td>0.598</td>
+    <td>0.367</td>
+  <td>0.701</td>
+  </tr>
+    <tr>
+    <td></td>
+    <td>base</td>
+    <td>0</td>
+    <td>0</td>
+    <td>0</td>
+    <td>0</td>
+    <td>0</td>
+  </tr>
+  <tr>
+    <td>ChatGLM3-6b</td>
+    <td>lora</td>
+    <td>0.855</td>
+    <td>0.605</td>
+    <td>0.477</td>
+    <td>0.271</td>
+    <td>0.59</td>
+  </tr>
+  <tr>
+    <td></td>
+    <td>qlora</td>
+    <td>0.843</td>
+    <td>0.603</td>
+    <td>0.506</td>
+    <td>0.211</td>
+    <td>0.581</td>
+  </tr>
+</table>
+ 
+
 ## Contents
 - [DB-GPT-Hub: Text-to-SQL parsing with LLMs](#db-gpt-hub-text-to-sql-parsing-with-llms)
   - [Contents](#contents)
diff --git a/README.zh.md b/README.zh.md
index 7dbe21d..4657a1c 100644
--- a/README.zh.md
+++ b/README.zh.md
@@ -26,6 +26,267 @@
 [**英文**](README.md) | [**Discord**](https://discord.gg/7uQnPuveTY) | [**Wechat**](https://github.com/eosphoros-ai/DB-GPT/blob/main/README.zh.md#%E8%81%94%E7%B3%BB%E6%88%91%E4%BB%AC) | [**Huggingface**](https://huggingface.co/eosphoros) | [**Community**](https://github.com/eosphoros-ai/community)
 </div>
 
+
+## Baseline
+- 更新日期: 2023/12/08
+- 评价指标: execution accuracy (ex)
+- 详情参考[docs/eval-llm-result.md](https://github.com/eosphoros-ai/DB-GPT-Hub/blob/main/docs/eval_llm_result.md)
+
+<table style="text-align: center;">
+  <tr>
+    <th style="text-align: center;">Model</th>
+    <th>Method</th>
+    <th>Easy</th>
+    <th>Medium</th>
+    <th>Hard</th>
+    <th>Extra</th>
+    <th>All</th>
+  </tr>
+  <tr >
+    <td></td>
+    <td>base</td>
+    <td>0</td>
+    <td>0</td>
+    <td>0</td>
+    <td>0</td>
+    <td>0</td>
+  </tr>
+  <tr>
+    <td>Llama2-7B-Chat</td>
+    <td>lora</td>
+    <td>0.887</td>
+    <td>0.641</td>
+    <td>0.489</td>
+    <td>0.331</td>
+    <td>0.626</td>
+  </tr>
+  <tr>
+    <td></td>
+    <td>qlora</td>
+    <td>0.847</td>
+    <td>0.623</td>
+    <td>0.466</td>
+    <td>0.361</td>
+    <td>0.608</td>
+  </tr>
+  <tr>
+    <td></td>
+    <td>base</td>
+    <td>0</td>
+    <td>0</td>
+    <td>0</td>
+    <td>0</td>
+    <td>0</td>
+  </tr>
+  <tr>
+    <td>Llama2-13B-Chat</td>
+    <td>lora</td>
+    <td>0.907</td>
+    <td>0.729</td>
+    <td>0.552</td>
+    <td>0.343</td>
+    <td>0.68</td>
+  </tr>
+  <tr>
+    <td></td>
+    <td>qlora</td>
+    <td>0.911</td>
+    <td>0.7</td>
+    <td>0.552</td>
+    <td>0.319</td>
+    <td>0.664</td>
+  </tr>
+  <tr>
+    <td></td>
+    <td>base</td>
+    <td>0.214</td>
+    <td>0.177</td>
+    <td>0.092</td>
+    <td>0.036</td>
+    <td>0.149</td>
+  </tr>
+  <tr>
+  <td>CodeLlama-7B-Instruct</td>
+    <td>lora</td>
+    <td>0.923</td>
+    <td>0.756</td>
+    <td>0.586</td>
+    <td>0.349</td>
+    <td>0.702</td>
+  </tr>
+  <tr>
+    <td></td>
+    <td>qlora</td>
+    <td>0.911</td>
+    <td>0.751</td>
+    <td>0.598</td>
+    <td>0.331</td>
+    <td>0.696</td>
+  </tr>
+  <tr>
+    <td></td>
+    <td>base</td>
+    <td>0.698</td>
+    <td>0.601</td>
+    <td>0.408</td>
+    <td>0.271</td>
+    <td>0.539</td>
+  </tr>
+  <tr>
+    <td>CodeLlama-13B-Instruct</td>
+    <td>lora</td>
+    <td>0.94</td>
+    <td>0.789</td>
+    <td>0.684</td>
+    <td>0.404</td>
+    <td>0.746</td>
+  </tr>
+  <tr>
+    <td></td>
+    <td>qlora</td>
+    <td>0.94</td>
+    <td>0.774</td>
+    <td>0.626</td>
+    <td>0.392</td>
+    <td>0.727</td>
+  </tr>
+  <tr>
+    <td></td>
+    <td>base</td>
+    <td>0.577</td>
+    <td>0.352</td>
+    <td>0.201</td>
+    <td>0.066</td>
+    <td>335</td>
+  </tr>
+  <tr>
+    <td>Baichuan2-7B-Chat</td>
+    <td>lora</td>
+    <td>0.871</td>
+    <td>0.63</td>
+    <td>0.448</td>
+    <td>0.295</td>
+    <td>0.603</td>
+  </tr>
+  <tr>
+  <td></td>
+    <td>qlora</td>
+    <td>0.891</td>
+    <td>0.637</td>
+    <td>0.489</td>
+    <td>0.331</td>
+    <td>0.624</td>
+  </tr>
+  <tr>
+    <td></td>
+    <td>base</td>
+    <td>0.581</td>
+    <td>0.413</td>
+    <td>0.264</td>
+    <td>0.187</td>
+    <td>0.392</td>
+  </tr>
+    <tr>
+    <td>Baichuan2-13B-Chat</td>
+    <td>lora</td>
+    <td>0.903</td>
+    <td>0.702</td>
+    <td>0.569</td>
+    <td>0.392</td>
+    <td>0.678</td>
+    </tr>
+  <tr>
+  <td></td>
+    <td>qlora</td>
+    <td>0.895</td>
+    <td>0.675</td>
+    <td>0.58</td>
+    <td>0.343</td>
+    <td>0.659</td>
+  </tr>
+  <tr>
+  <td></td>
+  <td>base</td>
+  <td>0.395</td>
+  <td>0.256</td>
+  <td>0.138</td>
+  <td>0.042</td>
+  <td>0.235</td>
+  </tr>
+<tr>
+<td>Qwen-7B-Chat</td>
+  <td>lora</td>
+  <td>0.855</td>
+  <td>0.688</td>
+  <td>0.575</td>
+  <td>0.331</td>
+  <td>0.652</td>
+  </tr>
+  <tr>
+    <td></td>
+    <td>qlora</td>
+    <td>0.911</td>
+    <td>0.675</td>
+    <td>0.575</td>
+    <td>0.343</td>
+    <td>0.662</td>
+  </tr>
+  <tr>
+  <td></td>
+  <td>base</td>
+  <td>0.871</td>
+  <td>0.632</td>
+  <td>0.368</td>
+  <td>0.181</td>
+  <td>0.573</td>
+  </tr>
+  <tr>
+    <td>Qwen-14B-Chat</td>
+    <td>lora</td>
+    <td>0.895</td>
+    <td>0.702</td>
+    <td>0.552</td>
+    <td>0.331</td>
+    <td>0.663</td>
+  </tr>
+  <tr>
+    <td></td>
+    <td>qlora</td>
+    <td>0.919</td>
+    <td>0.744</td>
+    <td>0.598</td>
+    <td>0.367</td>
+  <td>0.701</td>
+  </tr>
+    <tr>
+    <td></td>
+    <td>base</td>
+    <td>0</td>
+    <td>0</td>
+    <td>0</td>
+    <td>0</td>
+    <td>0</td>
+  </tr>
+  <tr>
+    <td>ChatGLM3-6b</td>
+    <td>lora</td>
+    <td>0.855</td>
+    <td>0.605</td>
+    <td>0.477</td>
+    <td>0.271</td>
+    <td>0.59</td>
+  </tr>
+  <tr>
+    <td></td>
+    <td>qlora</td>
+    <td>0.843</td>
+    <td>0.603</td>
+    <td>0.506</td>
+    <td>0.211</td>
+    <td>0.581</td>
+  </tr>
+</table>
+ 
 ## Contents
 - [DB-GPT-Hub:利用LLMs实现Text-to-SQL](#db-gpt-hub利用llms实现text-to-sql)
   - [Contents](#contents)