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Added specimens for single-card full parameter prediction
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examples/full_multi_gpu/predict.sh
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examples/full_multi_gpu/predict.sh
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#!/bin/bash
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CUDA_VISIBLE_DEVICES=0 python ../../src/train_bash.py \
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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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--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 full \
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--output_dir ../../saves/LLaMA2-7B/full/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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