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‎README.md‎

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swift sft \
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--model Qwen/Qwen2.5-7B-Instruct \
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--train_type lora \
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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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--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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--torch_dtype bfloat16 \
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--num_train_epochs 1 \
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--per_device_train_batch_size 1 \

‎README_CN.md‎

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swift sft \
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--model Qwen/Qwen2.5-7B-Instruct \
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--train_type lora \
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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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--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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--torch_dtype bfloat16 \
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--num_train_epochs 1 \
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--per_device_train_batch_size 1 \

‎docs/source/GetStarted/快速开始.md‎

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swift sft \
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--model Qwen/Qwen2.5-7B-Instruct \
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--train_type lora \
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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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--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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--torch_dtype bfloat16 \
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--num_train_epochs 1 \
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--per_device_train_batch_size 1 \

‎docs/source/Instruction/导出.md‎

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CUDA_VISIBLE_DEVICES=0 swift sft \
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--model Qwen/Qwen2-7B-Instruct \
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--train_type lora \
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--dataset AI-ModelScope/alpaca-gpt4-data-zh#5000 \
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--dataset 'AI-ModelScope/alpaca-gpt4-data-zh#5000' \
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--quant_method bnb \
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--quant_bits 4 \
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--torch_dtype bfloat16
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CUDA_VISIBLE_DEVICES=0 swift sft \
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--model Qwen/Qwen2-7B-Instruct \
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--train_type lora \
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--dataset AI-ModelScope/alpaca-gpt4-data-zh#5000 \
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--dataset 'AI-ModelScope/alpaca-gpt4-data-zh#5000' \
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--quant_method hqq \
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--quant_bits 4
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# eetq
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CUDA_VISIBLE_DEVICES=0 swift sft \
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--model Qwen/Qwen2-7B-Instruct \
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--train_type lora \
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--dataset AI-ModelScope/alpaca-gpt4-data-zh#5000 \
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--dataset 'AI-ModelScope/alpaca-gpt4-data-zh#5000' \
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--quant_method eetq \
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--torch_dtype float16
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```

‎docs/source_en/GetStarted/Quick-start.md‎

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swift sft \
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--model Qwen/Qwen2.5-7B-Instruct \
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--train_type lora \
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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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--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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--torch_dtype bfloat16 \
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--num_train_epochs 1 \
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--per_device_train_batch_size 1 \

‎docs/source_en/Instruction/Export.md‎

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CUDA_VISIBLE_DEVICES=0 swift sft \
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--model Qwen/Qwen2-7B-Instruct \
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--train_type lora \
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--dataset AI-ModelScope/alpaca-gpt4-data-zh#5000 \
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--dataset 'AI-ModelScope/alpaca-gpt4-data-zh#5000' \
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--quant_method bnb \
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--quant_bits 4 \
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--torch_dtype bfloat16
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CUDA_VISIBLE_DEVICES=0 swift sft \
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--model Qwen/Qwen2-7B-Instruct \
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--train_type lora \
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--dataset AI-ModelScope/alpaca-gpt4-data-zh#5000 \
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--dataset 'AI-ModelScope/alpaca-gpt4-data-zh#5000' \
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--quant_method hqq \
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--quant_bits 4
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# eetq
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--model Qwen/Qwen2-7B-Instruct \
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--train_type lora \
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--dataset AI-ModelScope/alpaca-gpt4-data-zh#5000 \
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--dataset 'AI-ModelScope/alpaca-gpt4-data-zh#5000' \
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--quant_method eetq \
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--torch_dtype float16
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```

‎examples/export/quantize/awq.sh‎

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CUDA_VISIBLE_DEVICES=0 \
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swift export \
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--model Qwen/Qwen2.5-1.5B-Instruct \
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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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--dataset 'AI-ModelScope/alpaca-gpt4-data-zh#500' \
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'AI-ModelScope/alpaca-gpt4-data-en#500' \
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--quant_n_samples 128 \
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--quant_batch_size 1 \
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--max_length 2048 \

‎examples/export/quantize/gptq.sh‎

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swift export \
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--model Qwen/Qwen2.5-1.5B-Instruct \
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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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--dataset 'AI-ModelScope/alpaca-gpt4-data-zh#500' \
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'AI-ModelScope/alpaca-gpt4-data-en#500' \
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--quant_n_samples 128 \
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--quant_batch_size 1 \
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--max_length 2048 \

‎examples/notebook/qwen2.5-self-cognition/sft.sh‎

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swift sft \
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--model Qwen/Qwen2.5-3B-Instruct \
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--train_type lora \
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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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--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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--num_train_epochs 1 \
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--per_device_train_batch_size 1 \

‎examples/train/all_to_all/train.sh‎

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--model BAAI/Emu3-Gen \
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--train_type lora \
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--dataset swift/TextCaps#40 \
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--dataset 'swift/TextCaps#40' \
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--loss_scale react \
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--tools_prompt react_zh \
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--torch_dtype bfloat16 \

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