Download examples/export/cached_dataset/mcore.sh from BBBBCHAN/StreamDelta: direct link, hf CLI and curl.
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https://huggingface.co/datasets/BBBBCHAN/StreamDelta/resolve/main/examples/export/cached_dataset/mcore.sh
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hf download hf://datasets/BBBBCHAN/StreamDelta/examples/export/cached_dataset/mcore.sh
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curl -L -o mcore.sh https://huggingface.co/datasets/BBBBCHAN/StreamDelta/resolve/main/examples/export/cached_dataset/mcore.sh
1.48 kB
| # Note: cached_dataset does not support CP temporarily. | |
| swift export \ | |
| --model Qwen/Qwen3-30B-A3B-Base \ | |
| --dataset 'swift/Chinese-Qwen3-235B-2507-Distill-data-110k-SFT' \ | |
| --max_length 8192 \ | |
| --split_dataset_ratio 0.01 \ | |
| --dataset_num_proc 64 \ | |
| --to_cached_dataset true \ | |
| --output_dir ./qwen3_cached_dataset | |
| # 4 * 48GiB; 17s/it | |
| PYTORCH_CUDA_ALLOC_CONF='expandable_segments:True' \ | |
| NPROC_PER_NODE=4 \ | |
| CUDA_VISIBLE_DEVICES=0,1,2,3 \ | |
| megatron sft \ | |
| --load Qwen3-30B-A3B-Base-mcore \ | |
| --cached_dataset './qwen3_cached_dataset' \ | |
| --train_type lora \ | |
| --lora_rank 32 \ | |
| --lora_alpha 64 \ | |
| --target_modules all-linear \ | |
| --split_dataset_ratio 0.01 \ | |
| --moe_permute_fusion true \ | |
| --expert_model_parallel_size 4 \ | |
| --moe_grouped_gemm true \ | |
| --moe_shared_expert_overlap true \ | |
| --moe_aux_loss_coeff 1e-3 \ | |
| --micro_batch_size 1 \ | |
| --global_batch_size 16 \ | |
| --recompute_granularity full \ | |
| --recompute_method uniform \ | |
| --recompute_num_layers 1 \ | |
| --max_epochs 3 \ | |
| --finetune true \ | |
| --cross_entropy_loss_fusion true \ | |
| --lr 1e-4 \ | |
| --lr_warmup_fraction 0.05 \ | |
| --min_lr 1e-5 \ | |
| --save megatron_output/Qwen3-30B-A3B-Base \ | |
| --eval_interval 200 \ | |
| --save_interval 200 \ | |
| --packing true \ | |
| --max_length 8192 \ | |
| --num_workers 8 \ | |
| --dataset_num_proc 8 \ | |
| --no_save_optim true \ | |
| --no_save_rng true \ | |
| --sequence_parallel true \ | |
| --attention_backend flash | |