[mcore] moonlight (small model with deepseekv3 arch) (#1284) #12

	name: ray_gpu

	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/single_controller/*.py"
	- .github/workflows/ray_gpu_test.yml
	- "!recipe/*/.py"

	# 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' }}

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

	jobs:
	ray_gpu:
	runs-on: [L20x8]
	timeout-minutes: 10 # 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
	container:
	image: whatcanyousee/verl:ngc-cu124-vllm0.8.5-sglang0.4.6-mcore0.12.0-te2.3
	options: --gpus all --shm-size=10g
	steps:
	- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
	with:
	fetch-depth: 0
	- name: Install the current repository
	run: \|
	pip install -e .[test]
	pip install --upgrade "ray>=2.40.0"
	- name: Running ray tests that need 8 GPUs
	run: \|
	cd tests/ray_gpu
	pytest -s -x --ignore=test_rvdz.py .

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