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Quantize and Run a Large Language Model using vLLM on Arm Servers #9

Quantize and Run a Large Language Model using vLLM on Arm Servers

Quantize and Run a Large Language Model using vLLM on Arm Servers #9

name: Update Arm Learning Path Roadmap Project Dates
on:
project_item:
types:
- created
- edited
jobs:
update-dates:
runs-on: ubuntu-latest
steps:
- name: Update Start Date
if: ${{ github.event.changes.fields['Status'] == 'In Progress' }}
run: |
gh api graphql -f query='
mutation($id: ID!, $date: String!) {
updateProjectV2ItemFieldValue(
input: {
projectId: "PVT_kwDOBVR2-M4A2QVf",
itemId: $id,
fieldId: "PVTF_lADOBVR2-M4A2QVfzgrvSF4",
value: $date
}
) {
projectV2Item {
id
}
}
}' -f id="${{ github.event.project_item.node_id }}" -f date="$(date -u +%Y-%m-%d)"
- name: Update Publish Date
if: ${{ github.event.changes.fields['Status'] == 'Done' }}
run: |
gh api graphql -f query='
mutation($id: ID!, $date: String!) {
updateProjectV2ItemFieldValue(
input: {
projectId: "PVT_kwDOBVR2-M4A2QVf",
itemId: $id,
fieldId: "PVTF_lADOBVR2-M4A2QVfzgrvSMA",
value: $date
}
) {
projectV2Item {
id
}
}
}' -f id="${{ github.event.project_item.node_id }}" -f date="$(date -u +%Y-%m-%d)"