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NeurlPS LLM efficiency challenge 初赛第一方案

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nips_submit

This repo code is used both for A100 and 4090.

data

The data is made public here1, here2, here3 before Oct 26th pst

inference

Total submit for 3 times:

  • Dockerfile1 for 1 time
  • Dockerfile2 for 1 time
  • Dockerfile3 for 1 time

Or you can run the following command:

pip install -r requirements.txt
uvicorn qwen_moe_raw:app --port 8000

finetune

Use the Dockerfile.finetune to reproduce the submission 1.

Or you can run the following command:

pip install -r requirements-train.txt
bash finetune.sh

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