License: MIT License
Using this repository we aim to run experiments that test the fundamental limits of using synthetic data for aligning LLMs.
Is SFT enough?
When is RLHF (oneline DPO) using synthetic data strictly better?
When can we do better than SFT data?
What role does model size have to play here?
conda create -n syth-llm python==3.10
conda activate syth-llm
pip install -r requirements.txt
FLASH_ATTENTION_SKIP_CUDA_BUILD=TRUE pip install flash-attn --no-build-isolation
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An Open Source Machine Learning Framework for Everyone
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