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在升腾npu-310p上能运行启动api，但是显存占用对比英伟达翻倍了 #7522

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monument-and-sea-all-the-gift opened this issue Mar 28, 2025 · 3 comments
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在升腾npu-310p上能运行启动api，但是显存占用对比英伟达翻倍了 #7522

monument-and-sea-all-the-gift opened this issue Mar 28, 2025 · 3 comments
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bug Something isn't working npu This problem is related to NPU devices pending This problem is yet to be addressed

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@monument-and-sea-all-the-gift
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Reminder

  • I have read the above rules and searched the existing issues.

System Info

  • llamafactory version: 0.9.1.dev0
  • Platform: Linux-4.19.90-89.11.v2401.ky10.x86_64-x86_64-with-glibc2.28
  • Python version: 3.10.16
  • PyTorch version: 2.1.0+cpu (NPU)
  • Transformers version: 4.46.0
  • Datasets version: 2.21.0
  • Accelerate version: 1.0.1
  • PEFT version: 0.12.0
  • TRL version: 0.9.6
  • NPU type: Ascend310P3
  • CANN version: 8.0.RC2.alpha001
  • DeepSpeed version: 0.13.2

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@monument-and-sea-all-the-gift monument-and-sea-all-the-gift added bug Something isn't working pending This problem is yet to be addressed labels Mar 28, 2025
@github-actions github-actions bot added the npu This problem is related to NPU devices label Mar 28, 2025
@hiyouga
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hiyouga commented Mar 28, 2025

try --infer_dtype float16?

@monument-and-sea-all-the-gift
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infer_dtype float16

write it into the infer.yaml？

@monument-and-sea-all-the-gift
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try --infer_dtype float16?

I already try it,but the problem all the same

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@hiyouga @monument-and-sea-all-the-gift