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gongjy 2024-12-13 20:08:59 +08:00
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README.md
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@ -770,7 +770,8 @@ minimind模型本身没有使用较大的数据集训练，也没有针对回答
> 您的支持就是持续改进项目的动力 > 您的支持就是持续改进项目的动力
> [!NOTE] > [!NOTE]
> 众擎易举。如果您已经尝试训练了新的MiniMind型号，欢迎在Discussions或Issues中分享您的模型权重<br/> > 众人拾柴火焰高
> 如果您已经尝试训练了新的MiniMind型号，欢迎在Discussions或Issues中分享您的模型权重<br/>
> 可以是在特定下游任务或垂直领域（例如情感识别、医疗、心理、金融、法律问答等）的MiniMind新模型版本<br/> > 可以是在特定下游任务或垂直领域（例如情感识别、医疗、心理、金融、法律问答等）的MiniMind新模型版本<br/>
> 也可以是拓展训练后（例如探索更长文本序列、更大体积（0.1B+）或更大的数据集）的MiniMind新模型版本<br/> > 也可以是拓展训练后（例如探索更长文本序列、更大体积（0.1B+）或更大的数据集）的MiniMind新模型版本<br/>
> 任何分享都视作独一无二的，所有尝试都具有价值，并受到鼓励<br/> > 任何分享都视作独一无二的，所有尝试都具有价值，并受到鼓励<br/>

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README_en.md
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@ -849,16 +849,12 @@ your model with third-party UIs, such as fastgpt, OpenWebUI, etc.
> [!NOTE] > [!NOTE]
> An individual's resources, energy, and time are limited, so we encourage everyone to participate and contribute > Many hands make light work.
> collectively. If you have trained model weights, you are welcome to share them in the Discussions or Issues > If you have already tried training a new MiniMind model, you are welcome to share your model weights in Discussions or Issues. <br/>
> sections.<br/> > This can be a new version of MiniMind for a specific downstream task or vertical domain (e.g., sentiment recognition, healthcare, psychology, finance, legal Q&A, etc.). <br/>
> These models can be new versions of MiniMind tailored for specific downstream tasks or vertical domains (such as > It can also be a new version of MiniMind after extended training (e.g., exploring longer text sequences, larger sizes (0.1B+), or larger datasets). <br/>
> sentiment recognition, healthcare, psychology, finance, legal Q&A, etc.).<br/> > Any contribution is considered unique and valuable, and all attempts are encouraged. <br/>
> They can also be new versions of MiniMind models that have undergone extended training, exploring longer text > These contributions will be promptly discovered and compiled in the acknowledgment list. Thank you again for all the support!
> sequences, larger volumes (such as 0.1B+), or more extensive datasets.<br/>
> Each contribution is unique, and all attempts are valuable and encouraged.<br/>
> Any shared contributions will be promptly recognized and compiled in the acknowledgments list. Thank you once again
> for everyone's support!
## 🤝[Contributors](https://github.com/jingyaogong/minimind/graphs/contributors) ## 🤝[Contributors](https://github.com/jingyaogong/minimind/graphs/contributors)