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terrykong merged 2 commits into from
Mar 25, 2025
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fix: update the instructions for multi-node setup; change the title f… #78

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fix: update the instructions for multi-node setup; change the title f…
parthchadha Mar 25, 2025
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Merge branch 'main' into pchadha/minor-readme
parthchadha Mar 25, 2025
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6 changes: 2 additions & 4 deletions README.md
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# Nemo-Reinforcer: A Scalable and Efficient Post-Training Library for Models Ranging from 1 GPU to 1000s, and from Tiny to >100B Parameters
# Nemo-Reinforcer: A Scalable and Efficient Post-Training Library for Models Ranging from tiny to >100B Parameters, scaling from 1 GPU to 100s

<!-- markdown all in one -->
- [Nemo-Reinforcer: A Scalable and Efficient Post-Training Library for Models Ranging from 1 GPU to 1000s, and from Tiny to \>100B Parameters](#nemo-reinforcer-a-scalable-and-efficient-post-training-library-for-models-ranging-from-1-gpu-to-1000s-and-from-tiny-to-100b-parameters)
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#### Multi-node

For the general multi-node setup, refer to the [SFT multi-node](#multi-node) documentation. The only thing that differs from SFT is the `COMMAND`:

```sh
# Run from the root of NeMo-Reinforcer repo
NUM_ACTOR_NODES=2
# Add a timestamp to make each job name unique
TIMESTAMP=$(date +%Y%m%d_%H%M%S)

# grpo_math_8b uses Llama-3.1-8B-Instruct model
COMMAND="uv pip install -e .; uv run ./examples/run_grpo_math.py --config examples/configs/grpo_math_8B.yaml cluster.num_nodes=2 checkpointing.checkpoint_dir='results/llama8b_2nodes' policy.train_global_batch_size=64 logger.wandb_enabled=True logger.wandb.name='grpo-llama8b_math'" \
COMMAND="uv pip install -e .; uv run ./examples/run_grpo_math.py --config examples/configs/grpo_math_8B.yaml cluster.num_nodes=2 checkpointing.checkpoint_dir='results/llama8b_2nodes' logger.wandb_enabled=True logger.wandb.name='grpo-llama8b_math'" \
RAY_DEDUP_LOGS=0 \
UV_CACHE_DIR=YOUR_UV_CACHE_DIR \
CONTAINER=YOUR_CONTAINER \
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