This is the Linux app named gpt-llm-trainer whose latest release can be downloaded as gpt-llm-trainersourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
gpt-llm-trainer
DESCRIPTION:
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
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/gpt-llm-trainer.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.