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Help me write a Python training script for the Templar Crusades competition that trains Qwen2.5-7B across two A100 80GB GPUs and maximizes MFU using mixed precision and model parallelism.
My Crusades training script failed the static security scanner. Here is the code, help me identify any forbidden imports or system timer tampering patterns that would be blocked.
Set up the local testing tool from this repo so I can benchmark my training script and check my efficiency score before submitting to the live Bittensor competition.
Explain how to split Qwen2.5-7B across two A100 GPUs efficiently for the Crusades competition, including tensor parallelism and pipeline parallelism strategies.
Full explanation on explaingit →
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