gpt llm trainer

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

Quick description about gpt llm trainer:

gpt-llm-trainer is an experimental notebook pipeline for creating task-specific fine-tuned language models from a plain task description. It reduces the work normally required to collect examples, format a dataset, split training and validation data, and run fine-tuning code. The system can generate prompts and responses with larger models, then prepare that synthetic dataset for model training. It includes workflows for LLaMA 2 7B, GPT-3.5 fine-tuning, and a Claude-to-LLaMA training variant. The project is designed for fast experimentation rather than polished enterprise model operations. It is useful for builders who want to test whether a narrowly focused model can be trained from generated examples.

Features:

• Task-to-dataset generation
• Synthetic prompt and response creation
• System message generation
• Train and validation splitting
• LLaMA 2 and GPT-3.5 fine-tuning workflows
• Colab and Jupyter notebook usage

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