wehub-resource-sync
57 lines
1.7 KiB
Bash
57 lines
1.7 KiB
Bash
# transformers: https://github.com/modelscope/ms-swift/blob/main/examples/train/moe/llama4.sh
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# 4 * 80GiB
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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 LLM-Research/Llama-4-Scout-17B-16E-Instruct \
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--save_safetensors true \
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--merge_lora true \
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--dataset 'AI-ModelScope/alpaca-gpt4-data-zh#10000' \
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'AI-ModelScope/LaTeX_OCR:human_handwrite#5000' \
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--load_from_cache_file true \
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--tuner_type lora \
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--lora_rank 8 \
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--lora_alpha 32 \
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--target_modules all-linear \
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--sequence_parallel true \
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--freeze_llm false \
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--freeze_vit true \
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--freeze_aligner true \
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--split_dataset_ratio 0.01 \
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--tensor_model_parallel_size 2 \
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--expert_model_parallel_size 4 \
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--moe_permute_fusion true \
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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 4 \
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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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--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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--num_train_epochs 1 \
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--output_dir megatron_output/Llama-4-Scout-17B-16E-Instruct \
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--eval_steps 100 \
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--save_steps 100 \
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--max_length 4096 \
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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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--padding_free false \
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--attention_backend unfused
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CUDA_VISIBLE_DEVICES=0,1,2,3 \
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swift infer \
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--model megatron_output/Llama-4-Scout-17B-16E-Instruct/vx-xxx/checkpoint-xxx \
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--stream true \
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--load_data_args true \
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--max_new_tokens 2048
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