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https://github.com/hiyouga/LLaMA-Factory.git
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20 lines
629 B
Bash
20 lines
629 B
Bash
#!/bin/bash
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CUDA_VISIBLE_DEVICES=0 llamafactory-cli train \
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--stage sft \
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--do_predict \
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--model_name_or_path meta-llama/Llama-2-7b-hf \
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--adapter_name_or_path ../../saves/LLaMA2-7B/lora/sft,../../saves/LLaMA2-7B/lora/dpo \
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--dataset alpaca_gpt4_en,glaive_toolcall \
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--dataset_dir ../../data \
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--template default \
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--finetuning_type lora \
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--output_dir ../../saves/LLaMA2-7B/lora/predict \
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--overwrite_cache \
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--overwrite_output_dir \
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--cutoff_len 1024 \
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--preprocessing_num_workers 16 \
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--per_device_eval_batch_size 1 \
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--max_samples 20 \
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--predict_with_generate
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