Reinforcement Learning
PEFT
Safetensors
reward-hacking
model-organism
grpo
activation-oracle
AVBench
Instructions to use cds-jb/qwen3-8b-overwrite-tests-rh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cds-jb/qwen3-8b-overwrite-tests-rh with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
| cd /workspace/rl-rewardhacking | |
| export PATH="$HOME/.local/bin:$PATH" | |
| export GIT_REPO_NAME=rl-rewardhacking | |
| set -a; source .env.gpu; source .env; set +a | |
| source "$VENV_DIR/bin/activate" | |
| export WANDB_LOG_MODEL=false WANDB_START_METHOD=thread VLLM_WORKER_MULTIPROC_METHOD=spawn LITELLM_LOG=WARNING WANDB__SERVICE_WAIT=600 | |
| export VLLM_ATTENTION_BACKEND=FLASH_ATTN VLLM_USE_FLASHINFER_SAMPLER=0 | |
| echo "=== START $(date -u) | task=simple_overwrite_tests_aware (explicit loophole) seed=1 ===" | |
| uv run --active --no-sync scripts/run_rl_training.py no_intervention \ | |
| --model_id=Qwen/Qwen3-8B \ | |
| --task=simple_overwrite_tests_aware \ | |
| --seed=1 | |
| echo "=== FINISHED $(date -u) exit=$? ===" | |