Merge pull request #302 from runpod-workers/feat/0.22.1
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Release / release (push) Waiting to run
feat: upgrade vllm to 0.22.1
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@@ -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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[](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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@@ -21,7 +21,7 @@ ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib64:/usr/local/cuda/lib64:$LD_LIBRARY_PA
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# Install vLLM with FlashInfer - use CUDA 130 PyTorch wheels
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# Install vLLM with FlashInfer - use CUDA 130 PyTorch wheels
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RUN uv pip install --system "packaging>=24.2" && \
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RUN uv pip install --system "packaging>=24.2" && \
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uv pip install --system "vllm[flashinfer]==0.21.0" && \
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uv pip install --system "vllm[flashinfer]==0.22.1" && \
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uv pip install --system git+https://github.com/deepseek-ai/DeepGEMM.git@714dd1a4a980f7937a74343d19a8eba4fe321480 --no-build-isolation
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uv pip install --system git+https://github.com/deepseek-ai/DeepGEMM.git@714dd1a4a980f7937a74343d19a8eba4fe321480 --no-build-isolation
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# Install additional Python dependencies (after vLLM to avoid PyTorch version conflicts)
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# Install additional Python dependencies (after vLLM to avoid PyTorch version conflicts)
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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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> Check out our Load Balancer implementation here: [vLLM Load Balancer](https://github.com/runpod-workers/vllm-loadbalancer-ep)
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