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update readme #410
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update readme #410
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Summary of Changes
Hello @helloyongyang, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request primarily focuses on a significant rebranding and scope expansion for the project. The tool, previously known as "LLMC" and focused on LLM compression, is now "LightCompress" and aims to support a wider range of AIGC models. The changes are reflected in the updated English and Chinese README files, ensuring the documentation aligns with the project's new identity and broader capabilities.
Highlights
- Project Renaming: The project and tool name have been updated from "LLMC" to "LightCompress" across the main README files (English and Chinese).
- Expanded Scope: The tool's description has been updated to reflect a broader focus on "AIGC Model Compression," now explicitly including LLM, VLM, and Diffusion models, moving beyond just LLM compression.
- Documentation Updates: The English (
README.md) and Chinese (README_zh.md) README files have been revised to incorporate the new name, expanded scope, and a clear notice about the renaming. - Language Support: The link to the Japanese version of the README has been removed from both the English and Chinese READMEs.
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Code Review
This pull request updates the README files to reflect the project's renaming from LLMC to LightCompress. The changes are mostly correct, but I've suggested a couple of minor fixes for a typo and to improve readability in both the English and Chinese READMEs.
| **LLMC** is an off-the-shell tool designed for compressing LLM, leveraging state-of-the-art compression algorithms to enhance efficiency and reduce model size without compromising performance. You can download the Docker image that can run llmc with the following command. Users in mainland China are recommended to use Alibaba Cloud Docker. | ||
| > **📢 Notice**: This repository was formerly known as **LLMC** and has been renamed to **LightCompress**. | ||
| **LightCompress** is an off-the-shell tool designed for compressing aigc models(LLM, VLM, Diffusion ...), leveraging state-of-the-art compression algorithms to enhance efficiency and reduce model size without compromising performance. You can download the Docker image that can run LightCompress with the following command. Users in mainland China are recommended to use Alibaba Cloud Docker. |
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There's a small typo in the description. The term should be "off-the-shelf" instead of "off-the-shell".
Additionally, for improved readability, I suggest adding a space before the opening parenthesis that lists the model types.
| **LightCompress** is an off-the-shell tool designed for compressing aigc models(LLM, VLM, Diffusion ...), leveraging state-of-the-art compression algorithms to enhance efficiency and reduce model size without compromising performance. You can download the Docker image that can run LightCompress with the following command. Users in mainland China are recommended to use Alibaba Cloud Docker. | |
| **LightCompress** is an off-the-shelf tool designed for compressing aigc models (LLM, VLM, Diffusion ...), leveraging state-of-the-art compression algorithms to enhance efficiency and reduce model size without compromising performance. You can download the Docker image that can run LightCompress with the following command. Users in mainland China are recommended to use Alibaba Cloud Docker. |
| **LLMC** 是一个开箱即用的工具,专为压缩LLM设计,利用最先进的压缩算法提高效率并减少模型体积,同时不影响预测精度。你可以通过以下命令下载可以运行llmc的docker镜像,中国大陆用户推荐使用阿里云docker。 | ||
| > **📢 提示**: 本仓库原名为 **LLMC**,现已更名为 **LightCompress**。 | ||
| **LightCompress** 是一个开箱即用的工具,专为压缩AIGC大模型(LLM, VLM, Diffusion ...)设计,利用最先进的压缩算法提高效率并减少模型体积,同时不影响预测精度。你可以通过以下命令下载可以运行LightCompress的docker镜像,中国大陆用户推荐使用阿里云docker。 |
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To improve readability and adhere to common typographic standards, it's best to add a space between Chinese characters and the Latin characters in the parentheses.
| **LightCompress** 是一个开箱即用的工具,专为压缩AIGC大模型(LLM, VLM, Diffusion ...)设计,利用最先进的压缩算法提高效率并减少模型体积,同时不影响预测精度。你可以通过以下命令下载可以运行LightCompress的docker镜像,中国大陆用户推荐使用阿里云docker。 | |
| **LightCompress** 是一个开箱即用的工具,专为压缩AIGC大模型 (LLM, VLM, Diffusion ...)设计,利用最先进的压缩算法提高效率并减少模型体积,同时不影响预测精度。你可以通过以下命令下载可以运行LightCompress的docker镜像,中国大陆用户推荐使用阿里云docker。 |
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