wehub-resource-sync
48 lines
1.4 KiB
Bash
48 lines
1.4 KiB
Bash
# test_env: 4 * H20
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# fa2: 4 * 49GiB; 17.2s/it
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# fa3: 4 * 49GiB; 15.2s/it
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# https://github.com/Dao-AILab/flash-attention/tree/main#flashattention-3-beta-release
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# pip install "transformers==4.53.*"
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PYTORCH_CUDA_ALLOC_CONF='expandable_segments:True' \
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NPROC_PER_NODE=4 \
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CUDA_VISIBLE_DEVICES=0,1,2,3 \
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megatron sft \
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--model Qwen/Qwen3-30B-A3B-Base \
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--save_safetensors true \
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--merge_lora false \
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--dataset 'swift/Chinese-Qwen3-235B-2507-Distill-data-110k-SFT' \
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--load_from_cache_file true \
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--tuner_type lora \
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--lora_rank 32 \
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--lora_alpha 64 \
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--target_modules all-linear \
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--split_dataset_ratio 0.01 \
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--moe_permute_fusion true \
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--expert_model_parallel_size 4 \
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--moe_grouped_gemm true \
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--moe_shared_expert_overlap true \
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--moe_aux_loss_coeff 1e-3 \
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--micro_batch_size 1 \
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--global_batch_size 16 \
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--recompute_granularity full \
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--recompute_method uniform \
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--recompute_num_layers 1 \
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--num_train_epochs 3 \
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--finetune true \
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--cross_entropy_loss_fusion true \
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--lr 1e-4 \
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--lr_warmup_fraction 0.05 \
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--min_lr 1e-5 \
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--output_dir megatron_output/Qwen3-30B-A3B-Base \
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--eval_steps 200 \
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--save_steps 200 \
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--packing true \
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--max_length 8192 \
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--dataloader_num_workers 8 \
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--dataset_num_proc 8 \
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--no_save_optim true \
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--no_save_rng true \
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--sequence_parallel true \
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--attention_backend flash
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