unsloth

We have hosted the application unsloth in order to run this application in our online workstations with Wine or directly.

Quick description about unsloth:

Unsloth is a framework designed to significantly improve the performance of Llama 3.3, DeepSeek-R1, and other reasoning large language models (LLMs). It optimizes these models to run up to 2x faster while using 70% less memory. Unsloth aims to make finetuning large models more efficient, offering users a simple, resource-efficient solution for customizing LLMs with their datasets. It provides a user-friendly experience through free notebooks and the ability to export finetuned models to various formats.

Features:

• Performance boost: Models run 2x faster with 70% less memory.
• Support for multiple models: Works with Llama 3.3, DeepSeek-R1, Phi-4, and more.
• Free notebooks: Easy-to-use notebooks for finetuning.
• Dataset integration: Seamlessly add custom datasets for finetuning.
• Multiple export options: Export finetuned models to GGUF, Ollama, vLLM, or Hugging Face.
• Memory optimization: Reduces memory usage while improving speed.
• Kaggle and Colab integration: Access models on platforms like Kaggle and Colab.
• Beginner-friendly: Simple and intuitive process for finetuning.
• Documentation: Detailed guides and documentation for setup and use.

Programming Language: Python.
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