OllaMerge v3.0

OllaMerge v3.0-史诗级更新！

这是OllaMerge推出的第五个正式版，也是一次里程碑式的更新！

在这个版本中，进行了有史以来最大最成功的改进：

• 增加了中英双语支持，可自由切换
• 增加了明亮/黑暗双主题切换
• 改进了界面布局，让看起来更简便易懂，并分块设计
• 修改了日志板块的字体和背景颜色，更简单易读
• 改进了界面整体设计风格和颜色，让界面更现代化
• 让界面变得半透明，符合Windows11的设计语言
• 移动了状态显示的位置，增加了一个状态“检测环境中”，并在按钮旁增加一个呼吸灯
• 增加了项目图标（嗯，是的！终于有图标了！）
• 增加了检测环境功能，可显示至日志中
• 修改了关于界面，让界面更具有现代化
• 在关于界面增加了仓库Release和Issues的链接
• 在关于界面里让三个链接变换为按钮形式，可直接点击
• 在关于界面里增加显示了电脑当前运行环境（仅供参考）
• 在关于界面的“鸣谢”里增加了DeepSeek Harness
• 在关于界面的“鸣谢里”增加了三个鸣谢方的对应图标
• 在关于界面里增加了描述和作者，以及许可证
• 将版本号提升至v3.0

同时，在此版本中，进行了以下修复：

• 修复了在OllamaMerge v2.0中，无法启动量化的问题（额，是的，我之前忘写启动进程了，抱歉owo）
• 修复了在部分情况下状态显示不对的问题
• 修复了部分组件的显示问题

欢迎大家进行使用！在这个版本的编写过程中，使用了DeepSeek Harness进行辅助。如果你有任何建议或想法，欢迎在Issues里交流！

OllaMerge v3.0 – A Legendary Update!

This is the fifth official release of OllaMerge, and also a milestone update!

This version brings the largest and most successful improvements ever:

• Added bilingual support for both Chinese and English, with seamless switching
• Introduced dual themes: light and dark mode
• Redesigned the interface layout for greater clarity and ease of use, with modular sections
• Updated font and background colors in the log section for improved readability
• Enhanced overall design style and color scheme to give the interface a more modern look
• Made the interface semi-transparent, aligning with Windows 11's design language
• Relocated the status display and added a new "Detecting Environment" status, along with a pulsing indicator light next to buttons
• Added project icons (yes, finally—icons are here!)
• Implemented environment detection functionality, with results displayed in logs
• Redesigned the About page for a more contemporary appearance
• Added links to the repository's Releases and Issues pages on the About screen
• Converted three key links into clickable buttons for direct access
• Displayed the current system environment information on the About page (for reference only)
• Added DeepSeek Harness to the "Acknowledgments" section
• Included icons for the three acknowledged contributors in the "Acknowledgments" section
• Added descriptions, author information, and license details to the About page
• Upgraded the version number to v3.0

Additionally, this release includes several bug fixes:

• Fixed the issue preventing quantized models from launching in OllamaMerge v2.0 (oops, I forgot to include the startup process earlier—sorry, owo)
• Resolved incorrect status display under certain conditions
• Addressed rendering issues with specific components

We welcome everyone to try it out! This release was developed with assistance from DeepSeek Harness. If you have any suggestions or feedback, feel free to share them in the Issues section!

OllaMerge v2.0

OllamaMerge v2.0

我查了一堆文档，和AI进行了深入研究之后得出结论，我的代码好像没写错，是因为LLaMA_Factory的量化数据集条件太苛刻了（是的，神奇的Python发力了），才导致在上个版本中（v2.0 Pre-Release）无法正常量化。在这个版本中，进行了以下修复和改进：

• 提升版本号至v2.0
• 清除了一些冗余代码
• 增加了提示功能，并让提示变得更简单易懂。
  同时，在后续版本中，打算进行以下更新：
• 添加英语支持
• 添加一些更便利的，关于AI的工具集

如果你在使用过程中，发现量化无法正常使用，请参照我那里的“帮助”内容进行自查，或是参照：

校准集建议使用中文长文本，单条长度超过 1024 token，字段名需与 dataset_info.json 中 columns 配置一致。

如果你在使用过程中有任何疑问或建议，欢迎提个Issues！我会尽可能的修改。谢谢大家支持！还有就是我最近的心理状况不太好（很差吧），所以更新速度可能会减慢很多，请大家见谅。

OllamaMerge v2.0

After reviewing numerous documents and conducting in-depth research with AI, I've concluded that my code appears to be correct. The issue in the previous version (v2.0 Pre-Release) was due to overly strict quantization dataset requirements from LLaMA_Factory—yes, Python's magic once again played a role—making proper quantization impossible. In this release, the following fixes and improvements have been implemented:

• Updated version number to v2.0
• Removed redundant code
• Added prompt functionality, making prompts simpler and more intuitive

In future versions, we plan to introduce the following updates:

• Add English support
• Include additional convenient AI-related toolsets

If you encounter issues with quantization during use, please refer to the "Help" section for self-diagnosis, or follow these guidelines:

For calibration datasets, it is recommended to use long Chinese texts with individual entries exceeding 1024 tokens. Field names must match the columns configuration in dataset_info.json.

If you have any questions or suggestions while using the tool, feel free to open an issue! I'll do my best to address them. Thank you all for your support! Also, I’ve recently been struggling mentally (quite severely, actually), so update frequency may slow down significantly. Your understanding is greatly appreciated.

OllaMerge v2.0 Pre-Release1

OllaMerge v2.0 Pre-Release1

大家好，这是OllaMerge v2.0的第一个预览版，此版本进行了以下重大更新：

• 添加了量化功能（是的没错！）
• 增加了一个配套状态
• 添加了一些控件
  同时，在这个预发布版里也存在了以下已知的问题：
• 因为这是预发布版，所以量化功能因为一些奇怪的bug无法使用，将在正式版中进行修复
  谢谢大家的支持！

OllaMerge v2.0 Pre-Release 1

Hello everyone, this is the first preview release of OllaMerge v2.0, featuring the following major updates:

• Added quantization support (yes, you read that right!)
• Introduced a companion status feature
• Added several new controls

However, the following known issues are present in this pre-release version:

• Due to being a pre-release, the quantization feature is currently unavailable due to some odd bugs and will be fixed in the official release

Thank you all for your support!

OllaMerge v1.1

OllaMerge v1.1

大家好啊！这是OllaMerge的第二个正式版，OllaMerge v1.1。在这个版本中，主要进行了以下更新：

• 将版本号改为v1.1
• 添加了状态栏（虽然看起来并不完善）
• 修改了窗口标题
• 去除了部分冗余代码（事实上就是之前写废的，嘿嘿）

在这个版本中，没有添加重大更新或进行问题修复。
由于我目前的心理状态，之后的更新速度可能会变慢，请大家见谅。我也会尽可能的维持的，感谢大家的支持啦~

OllaMerge v1.1

Hello everyone! This is the second official release of OllaMerge—OllaMerge v1.1. In this version, the following updates have been made:

• Updated the version number to v1.1
• Added a status bar (though it may not look fully polished yet)
• Modified the window title
• Removed some redundant code (basically just leftover from previous attempts, hehe)

This release does not include any major new features or bug fixes.
Due to my current mental state, future updates might come at a slower pace—please bear with me. I'll do my best to keep things going, and thank you all for your continued support!

OllaMerge v1.0

OllaMerge v1.0发布

OllaMerge的第一个正式版本，OllaMerge v1.0发布啦！此版本中增加了一些新功能，改动如下：

• 允许用户选择导出模型的切片大小
• 允许用户在Safetensors和bin中选择导出格式
• 将版本号更新到了1.0

此外，还进行了一些问题修复：

• 修改了日志显示框中的日志可以被编辑的问题

我目前打算此后更新的内容：

• 实现可以导出模型的同时进行量化
• 实现左上角的状态栏显示
• 更改窗口标题
• 找个图标
• 添加英语版本

最后，由于我还是个学生，现在开学啦，所以更新速度可能会变慢（不是可能，是几乎一定 0w0），也不一定能确保实现上面规划中的全部功能。同时，我肯定还存在考虑不周的情况。如果你在使用过程中发现了任何问题，以及有任何建议，或者好奇这个项目的背景，欢迎在Issue中讨论！我看到之后一定会回复的哦~谢谢大家啦！

对于英文版本，我会在每个版本制作完成之后根据时间来制作英文版哦（正在学习Qt的翻译机制！），同时，鉴于我本身的英语水平不高，翻译的文本也不一定能够保证完全准确，请广大英语用户见谅~

OllaMerge v1.0 Released

The first official release of OllaMerge, OllaMerge v1.0, is now available! This version introduces several new features and improvements:

• Allows users to select the shard size when exporting models
• Enables users to choose between Safetensors and bin formats for export
• Updated version number to 1.0

Additionally, several bug fixes have been implemented:

• Fixed an issue where logs in the log display box could be edited by the user

Here are my current plans for future updates:

• Implement model export with quantization support
• Add a status bar in the top-left corner
• Change the window title
• Find an appropriate icon
• Add an English version

Finally, since I'm still a student and school has just started, update frequency might slow down (not just possibly—almost certainly 0w0), and I can't guarantee all planned features will be completed. Also, there are likely some aspects I haven't considered yet. If you encounter any issues, have suggestions, or are curious about the project's background, feel free to discuss them in the Issues section—I'll definitely respond! Thank you all so much!

Regarding the English version, I'll add it after each release, depending on time availability (Learning Qt's translation mechanism!). Given that my English proficiency isn't high, translations may not be entirely accurate—please bear with me, fellow English-speaking users!

OllaMerge v0.1

OllaMerge v0.1

这是OllaMerge的第一个版本，有很多功能还不完善，将在后续的版本中逐渐补齐，请大家见谅~

This is the first version of OllaMerge, and many functions are still not perfect. They will be gradually improved in subsequent versions. Please forgive us~