chore: import upstream snapshot with attribution

examples/megatron/reranker/qwen3_reranker.sh

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+# 2 * 80GiB
+# For inference code, refer to: examples/infer/demo_reranker.py
+PYTORCH_CUDA_ALLOC_CONF='expandable_segments:True' \
+NPROC_PER_NODE=2 \
+CUDA_VISIBLE_DEVICES=0,1 \
+megatron sft \
+    --model Qwen/Qwen3-Reranker-8B \
+    --task_type generative_reranker \
+    --save_safetensors true \
+    --tuner_type full \
+    --dataset MTEB/scidocs-reranking \
+    --load_from_cache_file true \
+    --split_dataset_ratio 0.02 \
+    --tensor_model_parallel_size 2 \
+    --sequence_parallel true \
+    --micro_batch_size 2 \
+    --global_batch_size 16 \
+    --recompute_granularity full \
+    --recompute_method uniform \
+    --recompute_num_layers 1 \
+    --finetune true \
+    --cross_entropy_loss_fusion true \
+    --lr 5e-6 \
+    --lr_warmup_fraction 0.05 \
+    --min_lr 1e-7 \
+    --num_train_epochs 1 \
+    --output_dir megatron_output/Qwen3-Reranker-8B \
+    --save_steps 200 \
+    --eval_steps 50 \
+    --max_length 4096 \
+    --loss_type pointwise_reranker \
+    --dataloader_num_workers 4 \
+    --no_save_optim true \
+    --no_save_rng true \
+    --dataset_num_proc 4

examples/megatron/reranker/qwen3_vl_reranker.sh

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+# 4 * 50GiB
+# For inference code, refer to: examples/infer/demo_reranker.py
+PYTORCH_CUDA_ALLOC_CONF='expandable_segments:True' \
+NPROC_PER_NODE=4 \
+CUDA_VISIBLE_DEVICES=0,1,2,3 \
+megatron sft \
+    --model Qwen/Qwen3-VL-Reranker-8B \
+    --task_type generative_reranker \
+    --save_safetensors true \
+    --tuner_type full \
+    --dataset swift/TextCaps:rerank \
+    --load_from_cache_file true \
+    --split_dataset_ratio 0.02 \
+    --tensor_model_parallel_size 4 \
+    --sequence_parallel true \
+    --micro_batch_size 1 \
+    --global_batch_size 16 \
+    --recompute_granularity full \
+    --recompute_method uniform \
+    --recompute_num_layers 1 \
+    --finetune true \
+    --cross_entropy_loss_fusion true \
+    --lr 5e-6 \
+    --lr_warmup_fraction 0.05 \
+    --min_lr 1e-7 \
+    --num_train_epochs 1 \
+    --output_dir megatron_output/Qwen3-VL-Reranker-8B \
+    --save_steps 200 \
+    --eval_steps 50 \
+    --max_length 4096 \
+    --loss_type pointwise_reranker \
+    --dataloader_num_workers 4 \
+    --no_save_optim true \
+    --no_save_rng true \
+    --dataset_num_proc 4