[Feature Request] Custom Model Training

[HisStar]

I've noted that LLM-And-More stands out as a powerful one-stop solution for Large Language Models (LLMs), offering a comprehensive workflow from data handling to evaluation, and from training to deployment. However, I believe there's room for enhancement by introducing custom model training capabilities, which would afford greater flexibility and customization options.

Currently, LLM-And-More appears to prioritize providing pre-defined, high-performance models along with default parameters for an out-of-the-box training experience. Nonetheless, certain users may seek to train their own models to meet specific needs or research objectives.

Hence, I propose integrating a feature within LLM-And-More that allows users to upload and utilize their own pre-trained models or custom model architectures. Such functionality would offer users the following advantages:

1. Flexibility: Users could select the model architecture and parameter settings that best suit their needs, leading to improved performance and adaptability.
2. Customization: Researchers and developers, who may have trained specific models in other projects, could directly use these models within LLM-And-More for further training and deployment.
3. Innovation: Allowing users to upload custom models could transform LLM-And-More into a more open and innovative platform, encouraging the sharing and exploration of various model architectures and techniques.

I believe that introducing the custom model training capability will further enhance the value and appeal of LLM-And-More, catering to a broader range of user requirements. I hope the team will consider this suggestion and look into implementing this feature in future releases.

Thank you for your dedication and contributions to the open-source community!