[template] Support qwen3 omni mixed data (#6196)

Author: Jintao-Huang

examples/models/qwen3_omni/zero3.sh

@@ -0,0 +1,40 @@
+# 2 * 60GiB
+# mcore shell: https://github.com/modelscope/ms-swift/blob/main/examples/megatron/multimodal/omni/moe.sh
+MAX_PIXELS=1003520 \
+NPROC_PER_NODE=2 \
+VIDEO_MAX_PIXELS=50176 \
+FPS_MAX_FRAMES=12 \
+CUDA_VISIBLE_DEVICES=0,1 \
+swift sft \
+    --model Qwen/Qwen3-Omni-30B-A3B-Instruct \
+    --dataset 'AI-ModelScope/alpaca-gpt4-data-zh#10000' \
+              'AI-ModelScope/LaTeX_OCR:human_handwrite#5000' \
+              'swift/VideoChatGPT:Generic#2000' \
+              'speech_asr/speech_asr_aishell1_trainsets:validation#5000' \
+    --split_dataset_ratio 0.01 \
+    --load_from_cache_file true \
+    --train_type lora \
+    --torch_dtype bfloat16 \
+    --num_train_epochs 1 \
+    --per_device_train_batch_size 8 \
+    --per_device_eval_batch_size 8 \
+    --attn_impl flash_attn \
+    --learning_rate 1e-4 \
+    --lora_rank 8 \
+    --lora_alpha 32 \
+    --target_modules all-linear \
+    --freeze_vit true \
+    --freeze_aligner true \
+    --padding_free true \
+    --gradient_accumulation_steps 1 \
+    --gradient_checkpointing true \
+    --eval_steps 50 \
+    --save_steps 50 \
+    --save_total_limit 2 \
+    --logging_steps 5 \
+    --max_length 4096 \
+    --output_dir output \
+    --warmup_ratio 0.05 \
+    --dataset_num_proc 4 \
+    --deepspeed zero3 \
+    --dataloader_num_workers 4