[rollout,vllm] fix: Add LoRA Loading to Async vLLM #7260

Workflow file for this run

	# # Tests layout

	# Each folder under tests/ corresponds to a test category for a sub-namespace in verl. For instance:
	# - `tests/trainer` for testing functionality related to `verl/trainer`
	# - `tests/models` for testing functionality related to `verl/models`
	# - ...

	# There are a few folders with `special_` prefix, created for special purposes:
	# - `special_distributed`: unit tests that must run with multiple GPUs
	# - `special_e2e`: end-to-end tests with training/generation scripts
	# - `special_npu`: tests for NPUs
	# - `special_sanity`: a suite of quick sanity tests
	# - `special_standalone`: a set of test that are designed to run in dedicated environments

	# Accelerators for tests
	# - By default tests are run with GPU available, except for the ones under `special_npu`, and any test script whose name ends with `on_cpu.py`.
	# - For test scripts with `on_cpu.py` name suffix would be tested on CPU resources in linux environment.

	# # Workflow layout

	# All CI tests are configured by yaml files in `.github/workflows/`. Here's an overview of all test configs:
	# 1. A list of always triggered CPU sanity tests: `check-pr-title.yml`, `secrets_scan.yml`, `check-pr-title,yml`, `pre-commit.yml`, `doc.yml`
	# 2. Some heavy multi-GPU unit tests, such as `model.yml`, `vllm.yml`, `sgl.yml`
	# 3. End-to-end tests: `e2e_*.yml`
	# 4. Unit tests
	# - `cpu_unit_tests.yml`, run pytest on all scripts with file name pattern `tests/*/test__on_cpu.py`
	# - `gpu_unit_tests.yml`, run pytest on all scripts with file without the `on_cpu.py` suffix.
	# - Since cpu/gpu unit tests by default runs all tests under `tests`, please make sure tests are manually excluded in them when
	# - new workflow yaml is added to `.github/workflows`
	# - new tests are added to workflow mentioned in 2.
	# name: Check PR Title

	name: model

	on:
	# Trigger the workflow on push or pull request,
	# but only for the main branch
	push:
	branches:
	- main
	- v0.*
	pull_request:
	branches:
	- main
	- v0.*
	paths:
	- "verl/*/.py"
	# Entrypoints
	- ".github/workflows/model.yml"
	- "tests/special_distributed/test_fsdp_ckpt.py"
	- "tests/special_distributed/test_mcore_config_converter.py"
	- "tests/special_distributed/test_tensor_dict.py"
	- "tests/models/**"
	- "tests/special_distributed/run_all.sh"

	# Declare permissions just read content.
	permissions:
	contents: read

	# Cancel jobs on the same ref if a new one is triggered
	concurrency:
	group: ${{ github.workflow }}-${{ github.ref }}
	cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}


	env:
	IMAGE: "verl-ci-cn-beijing.cr.volces.com/verlai/verl:app-verl0.5-transformers4.55.4-vllm0.10.0-mcore0.13.0-te2.2"
	DYNAMIC_RUNNER_ENDPOINT: "https://sd10g3clalm04ug7alq90.apigateway-cn-beijing.volceapi.com/runner"

	jobs:
	setup:
	if: github.repository_owner == 'volcengine'
	runs-on: ubuntu-latest
	outputs:
	runner-label: ${{ steps.create-runner.outputs.runner-label }}
	mlp-task-id: ${{ steps.create-runner.outputs.mlp-task-id }}
	steps:
	- uses: actions/checkout@v4
	- id: create-runner
	uses: volcengine/vemlp-github-runner@v1
	with:
	mode: "create"
	faas-url: "${{ env.DYNAMIC_RUNNER_ENDPOINT }}"
	mlp-image: "${{ env.IMAGE }}"

	model_rmpad:
	needs: setup
	runs-on: ["${{ needs.setup.outputs.runner-label \|\| 'L20x8' }}"]
	timeout-minutes: 20 # Increase this timeout value as needed
	env:
	HTTP_PROXY: ${{ secrets.PROXY_HTTP }}
	HTTPS_PROXY: ${{ secrets.PROXY_HTTPS }}
	NO_PROXY: "localhost,127.0.0.1,hf-mirror.com"
	HF_ENDPOINT: "https://hf-mirror.com"
	HF_HUB_ENABLE_HF_TRANSFER: "0" # This is more stable
	steps:
	- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
	with:
	fetch-depth: 0
	- name: Install the current repository and upgrade to latest transformers(4.54.0)/flash_attn, transformers 4.55.0 has strange behavior with model backward
	run: \|
	pip3 install --no-deps -e .[test]
	pip3 install --upgrade transformers
	- name: Running rmpad model tests on 8 L20 GPUs + flash_attn 2.5.8
	run: \|
	pytest -s tests/models/test_transformer.py
	- name: Running rmpad model tests on 8 L20 GPUs + latest flash_attn
	run: \|
	pytest -s tests/models/test_transformer.py
	- name: Running FSDP rmpad model tests on 8 L20 GPUs + latest flash_attn
	run: \|
	STRATEGY=fsdp torchrun --nproc_per_node=8 tests/special_distributed/test_fsdp_ckpt.py
	- name: Running transformers ulysses tests on 8 L20 GPUs + latest transformers
	run: \|
	torchrun --nproc_per_node=8 -m pytest tests/models/test_transformers_ulysses.py
	- name: Running transformers ulysses tests on 8 L20 GPUs + transformers 4.54.1
	run: \|
	pip3 install transformers==4.54.1
	torchrun --nproc_per_node=8 -m pytest tests/models/test_transformers_ulysses.py
	- name: Running transformers ulysses tests on 8 L20 GPUs + transformers 4.53.2
	run: \|
	pip3 install transformers==4.53.2
	torchrun --nproc_per_node=8 -m pytest tests/models/test_transformers_ulysses.py
	- name: Running transformers ulysses tests on 8 L20 GPUs + transformers 4.52.0
	run: \|
	pip3 install transformers==4.52.0
	torchrun --nproc_per_node=8 -m pytest tests/models/test_transformers_ulysses.py
	- name: Run distributed test
	run: \|
	bash tests/special_distributed/run_all.sh

	# TODO: Move this back to model_rmpad once FSDP2 is stable.
	# NOTE: List as an independent job to make rerun easier.
	model_rmpad_fsdp2_unstable:
	needs: setup
	runs-on: [ "${{ needs.setup.outputs.runner-label \|\| 'L20x8' }}" ]
	timeout-minutes: 20 # Increase this timeout value as needed
	env:
	HTTP_PROXY: ${{ secrets.PROXY_HTTP }}
	HTTPS_PROXY: ${{ secrets.PROXY_HTTPS }}
	NO_PROXY: "localhost,127.0.0.1,hf-mirror.com"
	HF_ENDPOINT: "https://hf-mirror.com"
	HF_HUB_ENABLE_HF_TRANSFER: "0" # This is more stable
	steps:
	- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
	with:
	fetch-depth: 0
	- name: Install the current repository and upgrade to latest transformers/flash_attn
	run: \|
	pip3 install --no-deps -e .[test]
	pip3 install --upgrade transformers
	- name: Running FSDP2 rmpad model tests on 8 L20 GPUs + latest flash_attn
	run: \|
	STRATEGY=fsdp2 torchrun --nproc_per_node=8 tests/special_distributed/test_fsdp_ckpt.py

	mcore_config_converter:
	needs: setup
	runs-on: [ "${{ needs.setup.outputs.runner-label \|\| 'L20x8' }}" ]
	timeout-minutes: 20 # Increase this timeout value as needed
	env:
	HTTP_PROXY: ${{ secrets.PROXY_HTTP }}
	HTTPS_PROXY: ${{ secrets.PROXY_HTTPS }}
	NO_PROXY: "localhost,127.0.0.1,hf-mirror.com"
	HF_ENDPOINT: "https://hf-mirror.com"
	HF_HUB_ENABLE_HF_TRANSFER: "0" # This is more stable
	steps:
	- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
	with:
	fetch-depth: 0
	- name: Install the current repository
	run: \|
	pip3 install --no-deps -e .[test]
	pip install --upgrade "huggingface_hub[cli]"
	# - name: Download model config files
	# run: \|
	# hf download Qwen/Qwen2.5-7B config.json --local-dir $HOME/configs/Qwen/Qwen2.5-7B
	# hf download Qwen/Qwen3-8B config.json --local-dir $HOME/configs/Qwen/Qwen3-8B
	# hf download deepseek-ai/deepseek-coder-1.3b-instruct config.json --local-dir $HOME/configs/deepseek-ai/deepseek-coder-1.3b-instruct
	# hf download Qwen/Qwen2-57B-A14B config.json --local-dir $HOME/configs/Qwen/Qwen2-57B-A14B
	# hf download Qwen/Qwen3-30B-A3B config.json --local-dir $HOME/configs/Qwen/Qwen3-30B-A3B
	# hf download deepseek-ai/DeepSeek-V3-Base config.json --local-dir $HOME/configs/deepseek-ai/DeepSeek-V3-Base
	- name: Running mcore config converter tests on 8 L20 GPUs
	run: \|
	torchrun --nproc_per_node=8 tests/special_distributed/test_mcore_config_converter.py

	model_engine:
	needs: setup
	runs-on: [ "${{ needs.setup.outputs.runner-label \|\| 'L20x8' }}" ]
	timeout-minutes: 20 # Increase this timeout value as needed
	env:
	HTTP_PROXY: ${{ secrets.PROXY_HTTP }}
	HTTPS_PROXY: ${{ secrets.PROXY_HTTPS }}
	NO_PROXY: "localhost,127.0.0.1,hf-mirror.com"
	HF_ENDPOINT: "https://hf-mirror.com"
	HF_HUB_ENABLE_HF_TRANSFER: "0" # This is more stable
	steps:
	- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
	with:
	fetch-depth: 0
	- name: Install the current repository
	run: \|
	pip3 install --no-deps -e .[test]
	pip3 install --upgrade tensordict transformers
	pip install --upgrade "huggingface_hub[cli]"
	- name: Download model config files
	run: \|
	hf download Qwen/Qwen2.5-0.5B-Instruct --local-dir $HOME/models/Qwen/Qwen2.5-0.5B-Instruct

	- name: Running mcore engine tests on 8 L20 GPUs
	run: \|
	pytest -s -x tests/models/test_engine.py

	cleanup:
	runs-on: ubuntu-latest
	needs:
	[
	setup,
	model_rmpad,
	model_rmpad_fsdp2_unstable,
	mcore_config_converter,
	model_engine
	]
	if: always()
	steps:
	- id: destroy-runner
	uses: volcengine/vemlp-github-runner@v1
	with:
	mode: "destroy"
	faas-url: "${{ env.DYNAMIC_RUNNER_ENDPOINT }}"
	mlp-task-id: "${{ needs.setup.outputs.mlp-task-id }}"

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[rollout,vllm] fix: Add LoRA Loading to Async vLLM #7260

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[rollout,vllm] fix: Add LoRA Loading to Async vLLM #7260

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