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56 changes: 56 additions & 0 deletions examples/grpo_trainer/run_qwen3moe-30b_megatron.sh
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set -x

HF_MODEL_PATH=Qwen/Qwen3-30B-A3B
DIST_CKPT_PATH=${DIST_CKPT_PATH}

python scripts/converter_hf_to_mcore.py --hf_model_path $HF_MODEL_PATH --output_path $DIST_CKPT_PATH

# If you are using vllm<=0.6.3, you might need to set the following environment variable to avoid bugs:
# export VLLM_ATTENTION_BACKEND=XFORMERS
export CUDA_DEVICE_MAX_CONNECTIONS=1 # For megatron communication/computation overlapping

python3 -m verl.trainer.main_ppo --config-path=config \
--config-name='ppo_megatron_trainer.yaml'\
algorithm.adv_estimator=grpo \
data.train_files=$HOME/data/gsm8k/train.parquet \
data.val_files=$HOME/data/gsm8k/test.parquet \
data.train_batch_size=64 \
data.max_prompt_length=1024 \
data.max_response_length=2048 \
data.filter_overlong_prompts=True \
data.truncation='error' \
actor_rollout_ref.model.path= \
actor_rollout_ref.actor.optim.lr=1e-6 \
actor_rollout_ref.actor.ppo_mini_batch_size=64 \
actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=4 \
actor_rollout_ref.actor.megatron.pipeline_model_parallel_size=2 \
actor_rollout_ref.actor.megatron.tensor_model_parallel_size=4 \
actor_rollout_ref.actor.megatron.expert_model_parallel_size=4 \
actor_rollout_ref.actor.megatron.use_dist_checkpointing=True \
actor_rollout_ref.actor.megatron.dist_checkpointing_path=$DIST_CKPT_PATH \
actor_rollout_ref.actor.use_kl_loss=True \
actor_rollout_ref.actor.kl_loss_coef=0.001 \
actor_rollout_ref.actor.kl_loss_type=low_var_kl \
actor_rollout_ref.actor.entropy_coeff=0 \
actor_rollout_ref.model.enable_gradient_checkpointing=True \
actor_rollout_ref.rollout.log_prob_micro_batch_size_per_gpu=4 \
actor_rollout_ref.rollout.tensor_model_parallel_size=4 \
actor_rollout_ref.rollout.name=vllm \
actor_rollout_ref.rollout.gpu_memory_utilization=0.6 \
actor_rollout_ref.rollout.n=5 \
actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=4 \
actor_rollout_ref.ref.megatron.pipeline_model_parallel_size=2 \
actor_rollout_ref.ref.megatron.tensor_model_parallel_size=4 \
actor_rollout_ref.ref.megatron.expert_model_parallel_size=4 \
actor_rollout_ref.ref.megatron.use_dist_checkpointing=True \
actor_rollout_ref.ref.megatron.dist_checkpointing_path=$DIST_CKPT_PATH \
algorithm.use_kl_in_reward=False \
trainer.critic_warmup=0 \
trainer.logger=['console','wandb'] \
trainer.project_name='verl_grpo_example_gsm8k_math' \
trainer.experiment_name='qwen3_30b_moe_megatron' \
trainer.n_gpus_per_node=8 \
trainer.nnodes=4 \
trainer.save_freq=20 \
trainer.test_freq=5 \
trainer.total_epochs=15 $@