Add model merger to save checkpoints in the format of .safetensor and push them to the huggingface #292
Workflow file for this run
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| name: e2e_lora | |
| on: | |
| # Trigger the workflow on push or pull request, | |
| # but only for the main branch | |
| push: | |
| branches: | |
| - main | |
| paths: | |
| - "**/*.py" | |
| - .github/workflows/e2e_lora.yml | |
| pull_request: | |
| branches: | |
| - main | |
| paths: | |
| - "**/*.py" | |
| - .github/workflows/e2e_lora.yml | |
| - "tests/e2e/*.sh" | |
| jobs: | |
| e2e_lora: | |
| runs-on: [self-hosted, l20-1] | |
| env: | |
| HTTP_PROXY: ${{ secrets.PROXY_HTTP }} | |
| HTTPS_PROXY: ${{ secrets.PROXY_HTTPS }} | |
| NO_PROXY: "localhost,127.0.0.1" | |
| HF_HUB_ENABLE_HF_TRANSFER: 1 | |
| container: | |
| image: verlai/verl:vemlp-th2.4.0-cu124-vllm0.6.3-ray2.10-te1.7-v0.0.3 | |
| options: --gpus all --shm-size=10g | |
| steps: | |
| - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 | |
| with: | |
| fetch-depth: 0 | |
| - name: Install the current repository | |
| run: | | |
| pip3 install hf_transfer peft | |
| pip3 install -e .[test] | |
| - name: Prepare gsm8k dataset | |
| run: | | |
| ray stop --force | |
| python3 examples/data_preprocess/gsm8k.py | |
| - name: Running gsm8k e2e training tests with LoRA | |
| run: | | |
| ray stop --force | |
| bash tests/sft/run_sft_qwen05_peft.sh 8 $HOME/ckpts/ |