chore: import upstream snapshot with attribution
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This commit is contained in:
wehub-resource-sync
2026-07-13 13:34:58 +08:00
commit a203934033
1368 changed files with 175001 additions and 0 deletions
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# with padding_free: 4 * 53GiB, 3.55s/it
# without padding_free: 4 * 62GiB 4.41s/it
PYTORCH_CUDA_ALLOC_CONF='expandable_segments:True' \
CUDA_VISIBLE_DEVICES=0,1,2,3 \
NPROC_PER_NODE=4 \
MAX_PIXELS=1003520 \
swift rlhf \
--rlhf_type dpo \
--model Qwen/Qwen2.5-VL-7B-Instruct \
--dataset 'swift/RLAIF-V-Dataset#20000' \
--load_from_cache_file true \
--split_dataset_ratio 0.01 \
--tuner_type full \
--torch_dtype bfloat16 \
--num_train_epochs 1 \
--per_device_train_batch_size 4 \
--per_device_eval_batch_size 4 \
--learning_rate 1e-5 \
--freeze_vit true \
--freeze_aligner true \
--gradient_accumulation_steps 1 \
--eval_steps 100 \
--save_steps 100 \
--save_total_limit 2 \
--deepspeed zero3 \
--logging_steps 5 \
--max_length 4096 \
--output_dir output \
--warmup_ratio 0.05 \
--dataloader_num_workers 4 \
--dataset_num_proc 4 \
--attn_impl flash_attn \
--save_only_model true \
--rpo_alpha 0.1 \
--padding_free true
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# Supported multimodal models reference:
# https://github.com/modelscope/ms-swift/blob/main/examples/train/packing/qwen2_5_vl.sh
# without padding_free: 4 * 60GiB, 26h
# padding_free: 4 * 44GiB, 13h
NPROC_PER_NODE=4 \
CUDA_VISIBLE_DEVICES=0,1,2,3 \
swift sft \
--model Qwen/Qwen2.5-7B \
--tuner_type full \
--dataset 'liucong/Chinese-DeepSeek-R1-Distill-data-110k-SFT' \
--load_from_cache_file true \
--split_dataset_ratio 0.01 \
--torch_dtype bfloat16 \
--per_device_train_batch_size 8 \
--per_device_eval_batch_size 8 \
--learning_rate 1e-5 \
--gradient_accumulation_steps 1 \
--eval_steps 200 \
--save_steps 200 \
--logging_steps 5 \
--max_length 8192 \
--warmup_ratio 0.05 \
--dataloader_num_workers 8 \
--dataset_num_proc 8 \
--save_total_limit 2 \
--save_only_model true \
--output_dir output/Qwen2.5-7B \
--deepspeed zero3 \
--use_liger_kernel true \
--attn_impl flash_attn \
--padding_free true