Bump version v0.1.2 (#55)

README.md

@@ -23,6 +23,10 @@ Lagent is a lightweight open-source framework that allows users to efficiently b
 
 ### Major Features
 
+**0.1.2** was released in 24/10/2023:
+
+- **Support efficient inference engine.** Lagent now supports efficient inference engine [lmdeploy turbomind](https://github.com/InternLM/lmdeploy/tree/main).
+
 - **Support multiple kinds of agents out of box.** Lagent now supports [ReAct](https://arxiv.org/abs/2210.03629), [AutoGPT](https://github.com/Significant-Gravitas/Auto-GPT) and [ReWOO](https://arxiv.org/abs/2305.18323), which can drive the large language models(LLMs) for multiple trials of reasoning and function calling.
 
 - **Extremely simple and easy to extend.** The framework is quite simple with a clear structure. With only 20 lines of code, you are able to construct your own agent. It also supports three typical tools: Python interpreter, API call, and google search.

README_zh-CN.md

@@ -25,8 +25,14 @@ Lagent 是一个轻量级、开源的基于大语言模型的智能体（agent
 
 ### 主要特点
 
+**0.1.2** 版本已经在 2023.10.24 发布
+
+- **支持高性能推理.** 我们现在支持了高性能推理 [lmdeploy turbomind](https://github.com/InternLM/lmdeploy/tree/main).
+
 - **实现了多种类型的智能体，** 我们支持了经典的 [ReAct](https://arxiv.org/abs/2210.03629)，[AutoGPT](https://github.com/Significant-Gravitas/Auto-GPT) 和 [ReWoo](https://arxiv.org/abs/2305.18323) 等智能体，这些智能体能够调用大语言模型进行多轮的推理和工具调用。
+
 - **框架简单易拓展.** 框架的代码结构清晰且简单，只需要不到20行代码你就能够创造出一个你自己的智能体（agent）。同时我们支持了 Python 解释器、API 调用和搜索三类常用典型工具。
+
 - **灵活支持多个大语言模型.** 我们提供了多种大语言模型支持，包括 InternLM、Llama-2 等开源模型和 GPT-4/3.5 等基于 API 的闭源模型。
 
 ## 教程

docs/en/changelog.md

@@ -0,0 +1,16 @@
+## Changelog
+
+### v0.1.2 (24/10/2023)
+
+#### Highlights
+
+- Support Efficient Inference Engine [lmdeploy turbomind](https://github.com/InternLM/lmdeploy/tree/main)
+
+#### New Features
+
+- Support Efficient Inference Engine [TurboMind](https://github.com/InternLM/lmdeploy/tree/main): Based on lmdeploy turbomind, Lagent supports the inference of LLaMA and its variant models on NVIDIA GPUs. (#47)
+
+#### Contributors
+
+A total of 2 developers contributed to this release.
+Thanks @Harold-lkk @jiangningliu30

lagent/version.py

@@ -1,5 +1,5 @@
 # Copyright (c) OpenMMLab. All rights reserved.
-__version__ = '0.1.1'
+__version__ = '0.1.2'
 
 
 def parse_version_info(version_str: str, length: int = 4) -> tuple: