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@@ -0,0 +1,71 @@
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name: CI | Sync vLLM version in READMEs
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on:
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push:
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branches: ["main"]
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paths:
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- "Dockerfile"
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workflow_dispatch:
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permissions:
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contents: write
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pull-requests: write
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jobs:
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sync_version:
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runs-on: ubuntu-latest
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name: Check README version matches Dockerfile and update if needed
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steps:
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- name: Checkout
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uses: actions/checkout@v4
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- name: Extract vLLM version from Dockerfile and sync READMEs
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run: |
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echo "Extracting vLLM version from Dockerfile..."
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dockerfile_version=$(grep -oP 'vllm(?:\[[\w,]+\])?==\K[\d.]+' Dockerfile | head -1)
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if [ -z "$dockerfile_version" ]; then
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echo "ERROR: Could not extract vLLM version from Dockerfile."
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exit 1
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fi
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echo "Dockerfile vLLM version: $dockerfile_version"
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echo "VLLM_VERSION=$dockerfile_version" >> $GITHUB_ENV
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updated=0
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for readme in README.md .runpod/README.md; do
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if [ ! -f "$readme" ]; then
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echo "Skipping $readme (not found)"
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continue
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fi
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readme_version=$(grep -oP 'Current vLLM version: \[\K[\d.]+' "$readme" || echo "")
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echo "$readme current version: ${readme_version:-not found}"
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if [ "$readme_version" = "$dockerfile_version" ]; then
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echo "$readme is already up to date."
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continue
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fi
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echo "Updating $readme from $readme_version to $dockerfile_version..."
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sed -i "s|Current vLLM version: \[${readme_version}\](https://github.com/vllm-project/vllm/releases/tag/v${readme_version})|Current vLLM version: [${dockerfile_version}](https://github.com/vllm-project/vllm/releases/tag/v${dockerfile_version})|g" "$readme"
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updated=1
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done
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echo "UPDATED=$updated" >> $GITHUB_ENV
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- name: Create Pull Request
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if: env.UPDATED == '1'
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uses: peter-evans/create-pull-request@v7
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with:
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token: ${{ secrets.GITHUB_TOKEN }}
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commit-message: "docs: sync vLLM version to ${{ env.VLLM_VERSION }} in READMEs"
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title: "docs: sync vLLM version to ${{ env.VLLM_VERSION }} in READMEs"
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body: |
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The vLLM version in the Dockerfile has been updated to `${{ env.VLLM_VERSION }}`.
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This PR syncs the version badge/link in:
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- `README.md`
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- `.runpod/README.md`
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branch: docs/sync-vllm-version-${{ env.VLLM_VERSION }}
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labels: documentation
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+1
-1
@@ -6,7 +6,7 @@ Run LLMs using [vLLM](https://docs.vllm.ai) with an OpenAI-compatible API
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[](https://www.runpod.io/console/hub/runpod-workers/worker-vllm)
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Current vLLM version: [0.20.2](https://github.com/vllm-project/vllm/releases/tag/v0.20.2)
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Current vLLM version: [0.22.1](https://github.com/vllm-project/vllm/releases/tag/v0.22.1)
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---
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+1
-1
@@ -30,7 +30,7 @@
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}
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],
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"config": {
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"gpuTypeId": "NVIDIA GeForce RTX 4090",
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"gpuTypeId": "NVIDIA L40",
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"gpuCount": 1,
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"env": [
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{
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@@ -8,7 +8,7 @@ Deploy OpenAI-Compatible Blazing-Fast LLM Endpoints powered by the [vLLM](https:
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Current vLLM version: [0.20.2](https://github.com/vllm-project/vllm/releases/tag/v0.20.2)
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Current vLLM version: [0.22.1](https://github.com/vllm-project/vllm/releases/tag/v0.22.1)
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> Check out our Load Balancer implementation here: [vLLM Load Balancer](https://github.com/runpod-workers/vllm-loadbalancer-ep)
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@@ -0,0 +1,10 @@
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model: meta-llama/Llama-3.1-8B-Instruct
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gpu-memory-utilization: 0.95
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max-model-len: 8192
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dtype: auto
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trust-remote-code: true
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quantization: fp8
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kv-cache-dtype: fp8
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enforce-eager: false
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enable-prefix-caching: true
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speculative-config: '{"model":"RedHatAI/Llama-3.1-8B-Instruct-speculator.eagle3","method":"eagle3","num_speculative_tokens":3}'
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@@ -0,0 +1,10 @@
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model: Qwen/Qwen3-8B
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gpu-memory-utilization: 0.95
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max-model-len: 8192
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dtype: auto
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trust-remote-code: true
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quantization: fp8
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kv-cache-dtype: fp8
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enforce-eager: false
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enable-prefix-caching: true
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speculative-config: '{"model":"RedHatAI/Qwen3-8B-speculator.eagle3","method":"eagle3","num_speculative_tokens":3}'
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