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.
Former-commit-id: cd2f5717d676e1a5afd2f4e7a38402d2e55e7479
Modify installation method of extra python library.
Utilize shared memory of the host machine to increase training performance.
Former-commit-id: 97f9901c2f5c29a6ab517a1f8fa028b8e89edf4e
Already tested with the model of Qwen:1.8B and the dataset of alpaca_data_zh. Some python libraries are added to the Dockerfile as a result of the exception messages displayed throughout test procedure.
Former-commit-id: 897e083bc28ccb15c46909b9d13fc03a674fb254
