chore: import upstream snapshot with attribution

examples/train/moe/llama4.sh

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+# If you don't want to train the router, set:
+# `--target_regex '^(language_model).*\.(q_proj|k_proj|v_proj|o_proj|gate_proj|up_proj|down_proj)$'`
+NPROC_PER_NODE=4 \
+USE_HF=1 \
+CUDA_VISIBLE_DEVICES=0,1,2,3 \
+swift sft \
+    --model meta-llama/Llama-4-Scout-17B-16E-Instruct \
+    --dataset 'linxy/LaTeX_OCR:full#5000' \
+    --load_from_cache_file true \
+    --split_dataset_ratio 0.01 \
+    --tuner_type lora \
+    --torch_dtype bfloat16 \
+    --num_train_epochs 1 \
+    --per_device_train_batch_size 1 \
+    --per_device_eval_batch_size 1 \
+    --learning_rate 1e-4 \
+    --lora_rank 8 \
+    --lora_alpha 32 \
+    --router_aux_loss_coef 1e-3 \
+    --freeze_vit true \
+    --freeze_aligner true \
+    --gradient_accumulation_steps 4 \
+    --gradient_checkpointing true \
+    --eval_steps 50 \
+    --save_steps 50 \
+    --save_total_limit 2 \
+    --logging_steps 5 \
+    --max_length 2048 \
+    --output_dir output \
+    --warmup_ratio 0.05 \
+    --deepspeed zero3 \
+    --dataloader_num_workers 4

examples/train/moe/qwen3_moe.sh

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+# If you don't want to train the router, set:
+# `--target_modules q_proj k_proj v_proj o_proj gate_proj up_proj down_proj`
+
+# Note: If you need to use DeepSpeed ZeRO-2/ZeRO-3 but encounter hangs
+# try using transformers==4.51.3
+
+CUDA_VISIBLE_DEVICES=0 \
+swift sft \
+    --model Qwen/Qwen3-30B-A3B-Instruct-2507 \
+    --tuner_type lora \
+    --dataset 'swift/Chinese-Qwen3-235B-2507-Distill-data-110k-SFT#2000' \
+              'swift/self-cognition#1000' \
+    --load_from_cache_file true \
+    --torch_dtype bfloat16 \
+    --num_train_epochs 1 \
+    --per_device_train_batch_size 1 \
+    --per_device_eval_batch_size 1 \
+    --learning_rate 1e-4 \
+    --lora_rank 8 \
+    --lora_alpha 32 \
+    --router_aux_loss_coef 1e-3 \
+    --experts_impl grouped_mm \
+    --gradient_accumulation_steps 16 \
+    --eval_steps 50 \
+    --save_steps 50 \
+    --save_total_limit 2 \
+    --logging_steps 5 \
+    --max_length 2048 \
+    --output_dir output \
+    --system 'You are a helpful assistant.' \
+    --warmup_ratio 0.05 \
+    --dataloader_num_workers 4 \
+    --model_author swift \
+    --model_name swift-robot