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Integrated platforms for training and customizing machine learning models.
Distinguishing note: Focuses on the training and customization workflow rather than inference or chatbot interaction.
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This project is a comprehensive platform for hosting and interacting with large language models directly on local hardware. It provides a web-based graphical interface that allows users to manage model loading, configure generation parameters, and execute text or chat interactions entirely offline. By running models locally, the software ensures complete data privacy and eliminates reliance on external cloud services for generative tasks. Beyond basic inference, the platform functions as a versatile workbench for generative AI development. It includes an integrated pipeline for fine-tuning mo
Provides a unified environment for training and customizing language models using local compute resources.