Download scripts/launch_trainer.sh from tahamajs/AsyncTensorRLHF: direct link, hf CLI and curl.
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https://huggingface.co/tahamajs/AsyncTensorRLHF/resolve/main/scripts/launch_trainer.sh
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hf download hf://tahamajs/AsyncTensorRLHF/scripts/launch_trainer.sh
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curl -L -o launch_trainer.sh https://huggingface.co/tahamajs/AsyncTensorRLHF/resolve/main/scripts/launch_trainer.sh
632 Bytes
| # Launch trainer workers using Ray | |
| # Example usage: | |
| # scripts/launch_trainer.sh <num_workers> <model_path> | |
| NUM_WORKERS=$1 | |
| MODEL_PATH=$2 | |
| if [ -z "$NUM_WORKERS" ] || [ -z "$MODEL_PATH" ]; then | |
| echo "Usage: $0 <num_workers> <model_path>" | |
| exit 1 | |
| fi | |
| # Ensure Ray is running | |
| if ! ray status > /dev/null 2>&1; then | |
| ray start --head | |
| fi | |
| for i in $(seq 1 $NUM_WORKERS); do | |
| ray exec "import src.trainer.trainer_worker as tw; tw.start_trainer('$MODEL_PATH')" --address=auto & | |
| # Placeholder: replace with actual Ray actor creation. | |
| done | |
| echo "Launched $NUM_WORKERS trainer workers for model at $MODEL_PATH" | |