arXiv paper here, and the steering experiment code can be found here.
Rent B200s from runpod and use the runpod/pytorch:2.8.0-py3.11-cuda12.8.1-cudnn-devel-ubuntu22.04 docker template. Then run uv sync
Make sure to log into huggingface and wandb. I always run download_model.py first before running other scripts.
assistant_fts.md contains commands used for expert iteration assistant-style fine tunes. commands_to_run.md are used for SDF runs.
43 commits
2 commits
Jupyter Notebook
80.3%
Python
19.4%
arXiv paper here, and the steering experiment code can be found here.
Rent B200s from runpod and use the runpod/pytorch:2.8.0-py3.11-cuda12.8.1-cudnn-devel-ubuntu22.04 docker template. Then run uv sync
Make sure to log into huggingface and wandb. I always run download_model.py first before running other scripts.
assistant_fts.md contains commands used for expert iteration assistant-style fine tunes. commands_to_run.md are used for SDF runs.
43 commits
2 commits
Jupyter Notebook
80.3%
Python
19.4%