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# bnb quantize
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CUDA_VISIBLE_DEVICES=0 swift export \
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--model Shanghai_AI_Laboratory/internlm2-1_8b-reward \
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--output_dir output/internlm2-1_8b-reward-bnb-int4 \
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--quant_bits 4 \
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--quant_method bnb
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# infer
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CUDA_VISIBLE_DEVICES=0 swift infer \
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--model output/internlm2-1_8b-reward-bnb-int4 \
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--val_dataset 'AI-ModelScope/alpaca-gpt4-data-zh#1000' \
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--max_batch_size 16
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# gptq quantize
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CUDA_VISIBLE_DEVICES=0 swift export \
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--model Shanghai_AI_Laboratory/internlm2-1_8b-reward \
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--output_dir output/internlm2-1_8b-reward-gptq-int4 \
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--quant_bits 4 \
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--max_length 2048 \
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--quant_method gptq \
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--dataset 'AI-ModelScope/alpaca-gpt4-data-zh#1000' 'AI-ModelScope/alpaca-gpt4-data-en#1000'
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# infer
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CUDA_VISIBLE_DEVICES=0 swift infer \
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--model output/internlm2-1_8b-reward-gptq-int4 \
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--val_dataset 'AI-ModelScope/alpaca-gpt4-data-zh#1000' \
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--max_batch_size 16
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