Improve Dockerize support #2849
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Modify installation method of extra python library. Utilize shared memory of the host machine to increase training performance.
Note that the flash-attn library is installed in this image and the qwen model will use it automatically. However, if the the host machine's GPU is not compatible with the library, an exception will be raised during the training process as follows: FlashAttention only supports Ampere GPUs or newer. So if the --flash_attn flag is not set, an additional patch for the qwen model's config is necessary to set the default value of use_flash_attn from "auto" to False.
hiyouga
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solved
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Hello @S3Studio , how to specify the device id in dockerize training, such as LLaMA-Factory/src/llmtuner/webui/runner.py Lines 71 to 72 in 1e43319 |
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You can also review this commit: c1fe6ce |
I believe this commit solves the issue. |
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thanks! |
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Here are some improvements based on the discussions of PR # (2743).
In addressing a compatibility issue, I made some slight alterations on the existing codes. Feel free to discuss with me.
What does this PR do?
Improve PR # (2743)
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