wehub-resource-sync
82 lines
2.5 KiB
Bash
82 lines
2.5 KiB
Bash
# 2 * 50GiB
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# `--model` can directly accept a model with FP8 weights,
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# and the FP8 weight model will be saved directly upon training completion.
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PYTORCH_CUDA_ALLOC_CONF='expandable_segments:True' \
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NPROC_PER_NODE=2 \
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CUDA_VISIBLE_DEVICES=0,1 \
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IMAGE_MAX_TOKEN_NUM=1024 \
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VIDEO_MAX_TOKEN_NUM=128 \
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FPS_MAX_FRAMES=12 \
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megatron sft \
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--model Qwen/Qwen3.5-4B \
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--save_safetensors true \
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--dataset 'AI-ModelScope/alpaca-gpt4-data-zh#500' \
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'AI-ModelScope/alpaca-gpt4-data-en#500' \
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'swift/self-cognition#500' \
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'AI-ModelScope/LaTeX_OCR:human_handwrite#2000' \
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--model_author swift \
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--model_name swift-robot \
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--linear_decoupled_in_proj true \
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--load_from_cache_file true \
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--add_non_thinking_prefix true \
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--loss_scale ignore_empty_think \
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--fp8_recipe blockwise \
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--fp8_format e4m3 \
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--fp8_param_gather true \
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--split_dataset_ratio 0.01 \
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--tuner_type full \
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--tensor_model_parallel_size 2 \
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--micro_batch_size 1 \
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--global_batch_size 2 \
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--recompute_granularity full \
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--recompute_method uniform \
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--recompute_num_layers 1 \
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--num_train_epochs 1 \
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--packing true \
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--finetune true \
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--freeze_llm false \
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--freeze_vit true \
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--freeze_aligner true \
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--cross_entropy_loss_fusion true \
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--lr 1e-5 \
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--lr_warmup_fraction 0.05 \
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--min_lr 1e-6 \
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--output_dir megatron_output/Qwen3.5-4B-FP8 \
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--eval_steps 200 \
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--save_steps 200 \
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--max_length 4096 \
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--dataloader_num_workers 8 \
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--dataset_num_proc 8 \
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--no_save_optim true \
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--no_save_rng true \
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--sequence_parallel true \
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--mtp_num_layers 1 \
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--attention_backend flash
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# PYTORCH_CUDA_ALLOC_CONF='expandable_segments:True' \
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# CUDA_VISIBLE_DEVICES=0 \
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# IMAGE_MAX_TOKEN_NUM=1024 \
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# VIDEO_MAX_TOKEN_NUM=128 \
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# FPS_MAX_FRAMES=12 \
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# swift infer \
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# --model megatron_output/Qwen3.5-4B-FP8/vx-xxx/checkpoint-xxx \
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# --stream true \
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# --enable_thinking false \
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# --load_data_args true
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# vllm
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# PYTORCH_CUDA_ALLOC_CONF='expandable_segments:True' \
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# CUDA_VISIBLE_DEVICES=0 \
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# IMAGE_MAX_TOKEN_NUM=1024 \
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# VIDEO_MAX_TOKEN_NUM=128 \
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# FPS_MAX_FRAMES=12 \
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# swift infer \
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# --model megatron_output/Qwen3.5-4B-FP8/vx-xxx/checkpoint-xxx \
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# --stream true \
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# --enable_thinking false \
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# --load_data_args true \
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# --infer_backend vllm \
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# --vllm_tensor_parallel_size 1 \
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# --vllm_max_model_len 8192 \
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# --vllm_speculative_config '{"method":"qwen3_next_mtp","num_speculative_tokens":2}'
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