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.