chore: import upstream snapshot with attribution

2026-07-13 13:34:58 +08:00
commit a203934033
1368 changed files with 175001 additions and 0 deletions
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+# transformers: https://github.com/modelscope/ms-swift/blob/main/examples/train/moe/llama4.sh
+# 4 * 80GiB
+PYTORCH_CUDA_ALLOC_CONF='expandable_segments:True' \
+NPROC_PER_NODE=4 \
+CUDA_VISIBLE_DEVICES=0,1,2,3 \
+megatron sft \
+    --model LLM-Research/Llama-4-Scout-17B-16E-Instruct \
+    --save_safetensors true \
+    --merge_lora true \
+    --dataset 'AI-ModelScope/alpaca-gpt4-data-zh#10000' \
+              'AI-ModelScope/LaTeX_OCR:human_handwrite#5000' \
+    --load_from_cache_file true \
+    --tuner_type lora \
+    --lora_rank 8 \
+    --lora_alpha 32 \
+    --target_modules all-linear \
+    --sequence_parallel true \
+    --freeze_llm false \
+    --freeze_vit true \
+    --freeze_aligner true \
+    --split_dataset_ratio 0.01 \
+    --tensor_model_parallel_size 2 \
+    --expert_model_parallel_size 4 \
+    --moe_permute_fusion true \
+    --moe_grouped_gemm true \
+    --moe_shared_expert_overlap true \
+    --moe_aux_loss_coeff 1e-3 \
+    --micro_batch_size 4 \
+    --global_batch_size 16 \
+    --recompute_granularity full \
+    --recompute_method uniform \
+    --recompute_num_layers 1 \
+    --finetune true \
+    --cross_entropy_loss_fusion true \
+    --lr 1e-4 \
+    --lr_warmup_fraction 0.05 \
+    --min_lr 1e-5 \
+    --num_train_epochs 1 \
+    --output_dir megatron_output/Llama-4-Scout-17B-16E-Instruct \
+    --eval_steps 100 \
+    --save_steps 100 \
+    --max_length 4096 \
+    --dataloader_num_workers 8 \
+    --dataset_num_proc 8 \
+    --no_save_optim true \
+    --no_save_rng true \
+    --padding_free false \
+    --attention_backend unfused
+
+
+CUDA_VISIBLE_DEVICES=0,1,2,3 \
+swift infer \
+    --model megatron_output/Llama-4-Scout-17B-16E-Instruct/vx-xxx/checkpoint-xxx \
+    --stream true \
+    --load_data_args true \
+    --max_new_tokens 2048