wehub-resource-sync
72 lines
2.1 KiB
Bash
72 lines
2.1 KiB
Bash
# server mode version of frozen_lake.sh
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CUDA_VISIBLE_DEVICES=0,1,2,3 \
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swift rollout \
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--model Qwen/Qwen3.5-2B \
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--enable_thinking false \
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--vllm_data_parallel_size 4 \
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--multi_turn_scheduler gym_scheduler \
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--gym_env frozen_lake \
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--use_gym_env true \
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--max_turns 10 \
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--max_length 6120 \
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--vllm_max_model_len 6632 \
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--external_plugins examples/megatron/grpo/multi_turn/frozen_lake_plugin.py > frozen_lake_rollout.log 2>&1 &
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# Wait for rollout server to be ready
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echo "Waiting for rollout server to start..."
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until curl -s http://127.0.0.1:8000/health/ > /dev/null 2>&1; do
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sleep 10
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done
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echo "Rollout server is ready!"
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CUDA_VISIBLE_DEVICES=4,5,6,7 \
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NPROC_PER_NODE=4 \
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megatron rlhf \
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--rlhf_type grpo \
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--model Qwen/Qwen3.5-2B \
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--save_safetensors true \
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--context_parallel_size 1 \
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--tensor_model_parallel_size 1 \
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--pipeline_model_parallel_size 1 \
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--train_iters 120 \
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--dataset 'examples/megatron/grpo/multi_turn/frozen_lake.jsonl#1024' \
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--load_from_cache_file false \
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--global_batch_size 32 \
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--micro_batch_size 1 \
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--steps_per_generation 4 \
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--num_generations 8 \
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--external_plugins examples/megatron/grpo/multi_turn/frozen_lake_plugin.py \
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--use_vllm true \
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--vllm_mode server \
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--vllm_server_host 127.0.0.1 \
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--vllm_server_port 8000 \
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--max_length 6120 \
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--max_completion_length 512 \
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--enable_thinking false \
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--tuner_type lora \
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--lr 5e-5 \
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--bf16 true \
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--beta 0.001 \
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--importance_sampling_level token \
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--epsilon 0.2 \
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--epsilon_high 0.2 \
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--dynamic_sample false \
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--overlong_filter true \
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--loss_type grpo \
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--logging_steps 1 \
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--recompute_granularity selective \
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--finetune \
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--dataloader_num_workers 4 \
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--dataset_num_proc 4 \
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--no_save_optim \
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--no_save_rng \
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--attention_backend flash \
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--temperature 1.0 \
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--top_p 1.0 \
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--top_k 80 \
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--padding_free true \
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--log_completions true \
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--report_to tensorboard swanlab \
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--eval_steps 1000 \
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--save_steps 1000 \
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