wehub-resource-sync
62 lines
1.9 KiB
Bash
62 lines
1.9 KiB
Bash
# demo: thinking -> non-thinking
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# 4 * 70GiB; 40s/it
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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 ZhipuAI/GLM-4.5-Air \
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--save_safetensors true \
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--merge_lora true \
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--mtp_num_layers 1 \
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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 linear_qkv linear_proj \
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--split_dataset_ratio 0.01 \
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--moe_permute_fusion true \
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--tensor_model_parallel_size 4 \
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--expert_tensor_parallel_size 1 \
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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 2 \
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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/GLM-4.5-Air \
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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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# If not using the MTP module, please remove the speculative-related parameters.
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# CUDA_VISIBLE_DEVICES=0,1,2,3 \
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# swift infer \
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# --model megatron_output/GLM-4.5-Air/vx-xxx/checkpoint-xxx-merged \
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# --sglang_tp_size 4 \
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# --infer_backend sglang \
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# --load_data_args true \
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# --sglang_context_length 8192 \
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# --max_new_tokens 2048 \
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# --sglang_mem_fraction_static 0.7 \
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# --sglang_speculative_algorithm EAGLE \
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# --sglang_speculative_eagle_topk 1 \
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# --sglang_speculative_num_steps 3 \
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# --sglang_speculative_num_draft_tokens 4
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