Merge branch 'main' into fix/fix-old-actions

This commit is contained in:
chrisvela
2026-04-30 21:57:45 -05:00
committed by GitHub
3 changed files with 4 additions and 3 deletions
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@@ -6,7 +6,7 @@ Run LLMs using [vLLM](https://docs.vllm.ai) with an OpenAI-compatible API
[![RunPod](https://api.runpod.io/badge/runpod-workers/worker-vllm)](https://www.runpod.io/console/hub/runpod-workers/worker-vllm) [![RunPod](https://api.runpod.io/badge/runpod-workers/worker-vllm)](https://www.runpod.io/console/hub/runpod-workers/worker-vllm)
Current vLLM version: [0.17.1](https://github.com/vllm-project/vllm/releases/tag/v0.16.0) Current vLLM version: [0.18.1](https://github.com/vllm-project/vllm/releases/tag/v0.16.0)
--- ---
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@@ -10,7 +10,7 @@ RUN ldconfig /usr/local/cuda-12.9/compat/
# Install vLLM with FlashInfer - use CUDA 12.9 PyTorch wheels # Install vLLM with FlashInfer - use CUDA 12.9 PyTorch wheels
RUN uv pip install --system "packaging>=24.2" && \ RUN uv pip install --system "packaging>=24.2" && \
uv pip install --system "vllm[flashinfer]==0.17.1" --extra-index-url https://download.pytorch.org/whl/cu129 uv pip install --system "vllm[flashinfer]==0.18.1" --extra-index-url https://download.pytorch.org/whl/cu129
# Install additional Python dependencies (after vLLM to avoid PyTorch version conflicts) # Install additional Python dependencies (after vLLM to avoid PyTorch version conflicts)
COPY builder/requirements.txt /requirements.txt COPY builder/requirements.txt /requirements.txt
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@@ -8,7 +8,8 @@ Deploy OpenAI-Compatible Blazing-Fast LLM Endpoints powered by the [vLLM](https:
![vLLM worker banner](https://image.runpod.ai/preview/vllm/vllm-banner.png) ![vLLM worker banner](https://image.runpod.ai/preview/vllm/vllm-banner.png)
Current vLLM version: [0.17.1](https://github.com/vllm-project/vllm/releases/tag/v0.16.0)
Current vLLM version: [0.18.1](https://github.com/vllm-project/vllm/releases/tag/v0.16.0)
> Check out our Load Balancer implementation here: [vLLM Load Balancer](https://github.com/runpod-workers/vllm-loadbalancer-ep) > Check out our Load Balancer implementation here: [vLLM Load Balancer](https://github.com/runpod-workers/vllm-loadbalancer-ep)