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Merge pull request #106 from runpod-workers/up-0.5.5

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update vllm version 0.5.5
This commit is contained in:
Marut Pandya
2024-08-28 23:31:15 -07:00
committed by GitHub
parent 286d6ba702 3293245c81
commit ab40d9c9a8
2 changed files with 3 additions and 3 deletions
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Dockerfile
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@@ -12,7 +12,7 @@ RUN --mount=type=cache,target=/root/.cache/pip \
python3 -m pip install --upgrade -r /requirements.txt python3 -m pip install --upgrade -r /requirements.txt
# Install vLLM (switching back to pip installs since issues that required building fork are fixed and space optimization is not as important since caching) and FlashInfer # Install vLLM (switching back to pip installs since issues that required building fork are fixed and space optimization is not as important since caching) and FlashInfer
RUN python3 -m pip install vllm==0.5.4 && \ RUN python3 -m pip install vllm==0.5.5 && \
python3 -m pip install flashinfer -i https://flashinfer.ai/whl/cu121/torch2.3 python3 -m pip install flashinfer -i https://flashinfer.ai/whl/cu121/torch2.3
# Setup for Option 2: Building the Image with the Model included # Setup for Option 2: Building the Image with the Model included
README.md
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@@ -18,9 +18,9 @@ Deploy OpenAI-Compatible Blazing-Fast LLM Endpoints powered by the [vLLM](https:
### 1. UI for Deploying vLLM Worker on RunPod console: ### 1. UI for Deploying vLLM Worker on RunPod console:
![Demo of Deploying vLLM Worker on RunPod console with new UI](media/ui_demo.gif) ![Demo of Deploying vLLM Worker on RunPod console with new UI](media/ui_demo.gif)
### 2. Worker vLLM `v1.2.0` with vLLM `0.5.4` now available under `stable` tags ### 2. Worker vLLM `v1.3.0` with vLLM `0.5.4` now available under `stable` tags
Update v1.2.0 is now available, use the image tag `runpod/worker-v1-vllm:v1.2.0stable-cuda12.1.0`. Update v1.3.0 is now available, use the image tag `runpod/worker-v1-vllm:v1.3.0stable-cuda12.1.0`.
### 3. OpenAI-Compatible [Embedding Worker](https://github.com/runpod-workers/worker-infinity-embedding) Released ### 3. OpenAI-Compatible [Embedding Worker](https://github.com/runpod-workers/worker-infinity-embedding) Released
Deploy your own OpenAI-compatible Serverless Endpoint on RunPod with multiple embedding models and fast inference for RAG and more! Deploy your own OpenAI-compatible Serverless Endpoint on RunPod with multiple embedding models and fast inference for RAG and more!