Joyce94/LLM-RLHF-Tuning

LLM Tuning with PEFT (SFT+RM+PPO+DPO with LoRA)

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Emerging

This project helps machine learning engineers and researchers fine-tune large language models (LLMs) to better align with human preferences. You input a base LLM (like LLaMA or LLaMA2) and a dataset of desired responses, and it outputs a refined, instruction-tuned LLM capable of generating more helpful and harmless text. It's designed for those who want to enhance the performance and safety of their generative AI models.

453 stars. No commits in the last 6 months.

Use this if you need to significantly improve your LLM's ability to follow specific instructions and produce outputs that meet human quality standards, especially when working with LLaMA or LLaMA2 models.

Not ideal if you are looking for an out-of-the-box solution for non-LLM machine learning tasks or if you need to train models other than LLaMA or LLaMA2.

AI-model-tuning natural-language-processing generative-AI LLM-alignment machine-learning-engineering
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 13 / 25

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Stars

453

Forks

23

Language

Python

License

Last pushed

Oct 11, 2023

Commits (30d)

0

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