[docs] update readme (#10678)

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>

README.md

@@ -19,7 +19,21 @@
 [![Open in Studios](https://img.shields.io/badge/ModelScope-Open%20in%20Studios-blue)](https://modelscope.cn/studios/hiyouga/LLaMA-Board)
 [![Open in Novita](https://img.shields.io/badge/Novita-Deploy%20Template-blue)](https://novita.ai/templates-library/105981?sharer=88115474-394e-4bda-968e-b88e123d0c47)
 
-### Used by [Amazon](https://aws.amazon.com/cn/blogs/machine-learning/how-apoidea-group-enhances-visual-information-extraction-from-banking-documents-with-multimodal-models-using-llama-factory-on-amazon-sagemaker-hyperpod/), [NVIDIA](https://developer.nvidia.com/rtx/ai-toolkit), [Aliyun](https://help.aliyun.com/zh/pai/use-cases/fine-tune-a-llama-3-model-with-llama-factory), etc.
+### Used by [Amazon](https://aws.amazon.com/cn/blogs/machine-learning/how-apoidea-group-enhances-visual-information-extraction-from-banking-documents-with-multimodal-models-using-llama-factory-on-amazon-sagemaker-hyperpod/), [NVIDIA](https://build.nvidia.com/spark/llama-factory), [Aliyun](https://help.aliyun.com/zh/pai/use-cases/fine-tune-a-llama-3-model-with-llama-factory), etc.
+
+----
+
+<div align="center" markdown="1">
+
+### Check our new open-source project —<br>🐧 [PenguinHarness](https://github.com/Prism-Shadow/penguin-harness): Your desktop agent that automatically builds agents for just $0.02 of tokens!
+
+Follow our project: https://github.com/Prism-Shadow/penguin-harness
+
+</div>
+
+https://github.com/user-attachments/assets/9b7033e8-f08a-4c3f-bd33-547896664e6e
+
+----
 
 <div align="center" markdown="1">
 
@@ -32,7 +46,7 @@
 
 ### Easily fine-tune 100+ large language models with zero-code [CLI](#quickstart) and [Web UI](#fine-tuning-with-llama-board-gui-powered-by-gradio)
 
-![GitHub Trend](https://trendshift.io/api/badge/repositories/4535)
+![GitHub Trend](https://trendshift.io/api/badge/repositories/17371)
 
 </div>
 
@@ -961,7 +975,3 @@ If this work is helpful, please kindly cite as:
 ## Acknowledgement
 
 This repo benefits from [PEFT](https://github.com/huggingface/peft), [TRL](https://github.com/huggingface/trl), [QLoRA](https://github.com/artidoro/qlora) and [FastChat](https://github.com/lm-sys/FastChat). Thanks for their wonderful works.
-
-## Star History
-
-![Star History Chart](https://api.star-history.com/svg?repos=hiyouga/LLaMA-Factory&type=Date)

README_zh.md

@@ -19,7 +19,21 @@
 [![Open in Studios](https://img.shields.io/badge/ModelScope-Open%20in%20Studios-blue)](https://modelscope.cn/studios/hiyouga/LLaMA-Board)
 [![Open in Novita](https://img.shields.io/badge/Novita-Deploy%20Template-blue)](https://novita.ai/templates-library/105981?sharer=88115474-394e-4bda-968e-b88e123d0c47)
 
-### 获得[亚马逊](https://aws.amazon.com/cn/blogs/china/a-one-stop-code-free-model-fine-tuning-deployment-platform-based-on-sagemaker-and-llama-factory/)、[英伟达](https://developer.nvidia.cn/rtx/ai-toolkit)、[阿里云](https://help.aliyun.com/zh/pai/use-cases/fine-tune-a-llama-3-model-with-llama-factory)等的应用。
+### 获得[亚马逊](https://aws.amazon.com/cn/blogs/china/a-one-stop-code-free-model-fine-tuning-deployment-platform-based-on-sagemaker-and-llama-factory/)、[英伟达](https://build.nvidia.com/spark/llama-factory)、[阿里云](https://help.aliyun.com/zh/pai/use-cases/fine-tune-a-llama-3-model-with-llama-factory)等的应用。
+
+----
+
+<div align="center" markdown="1">
+
+### 欢迎关注我们全新的开源项目——<br>🐧 [PenguinHarness](https://github.com/Prism-Shadow/penguin-harness)：只需 0.2 元的 Token，即可自动构建 Agent 的桌面级 Agent！
+
+点击关注项目：https://github.com/Prism-Shadow/penguin-harness
+
+</div>
+
+https://github.com/user-attachments/assets/604eb626-0a5d-4a62-87e3-14ebade1cd5f
+
+----
 
 <div align="center" markdown="1">
 
@@ -32,7 +46,7 @@
 
 ### 使用零代码[命令行](#快速开始)与 [Web UI](#llama-board-可视化微调由-gradio-驱动) 轻松微调百余种大模型
 
-![GitHub Trend](https://trendshift.io/api/badge/repositories/4535)
+![GitHub Trend](https://trendshift.io/api/badge/repositories/17371)
 
 </div>
 
@@ -963,7 +977,3 @@ swanlab_run_name: test_run # 可选
 ## 致谢
 
 本项目受益于 [PEFT](https://github.com/huggingface/peft)、[TRL](https://github.com/huggingface/trl)、[QLoRA](https://github.com/artidoro/qlora) 和 [FastChat](https://github.com/lm-sys/FastChat)，感谢以上诸位作者的付出。
-
-## Star History
-
-![Star History Chart](https://api.star-history.com/svg?repos=hiyouga/LLaMA-Factory&type=Date)