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Merge pull request #160 from runpod-workers/up-0.7.2

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update vllm
This commit is contained in:
Marut Pandya
2025-02-11 13:59:18 -08:00
committed by GitHub
parent 6fc770415d c9791f1163
commit d7e9c49fe4
3 changed files with 5 additions and 5 deletions
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Dockerfile
+1 -1
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@@ -12,7 +12,7 @@ RUN --mount=type=cache,target=/root/.cache/pip \
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
RUN python3 -m pip install vllm==0.7.0 && \
RUN python3 -m pip install vllm==0.7.2 && \
python3 -m pip install flashinfer -i https://flashinfer.ai/whl/cu121/torch2.3
# 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:
![Demo of Deploying vLLM Worker on RunPod console with new UI](media/ui_demo.gif)
### 2. Worker vLLM `v1.9.0` with vLLM `0.7.0` now available under `stable` tags
### 2. Worker vLLM `v2.0.0` with vLLM `0.7.2` now available under `stable` tags
Update v1.9.0 is now available, use the image tag `runpod/worker-v1-vllm:v1.9.0stable-cuda12.1.0`.
Update v2.0.0 is now available, use the image tag `runpod/worker-v1-vllm:v2.0.0stable-cuda12.1.0`.
### 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!
@@ -82,7 +82,7 @@ Below is a summary of the available RunPod Worker images, categorized by image s
| CUDA Version | Stable Image Tag | Development Image Tag | Note |
|--------------|-----------------------------------|-----------------------------------|----------------------------------------------------------------------|
| 12.1.0 | `runpod/worker-v1-vllm:v1.9.0stable-cuda12.1.0` | `runpod/worker-v1-vllm:v1.9.0dev-cuda12.1.0` | When creating an Endpoint, select CUDA Version 12.3, 12.2 and 12.1 in the filter. |
| 12.1.0 | `runpod/worker-v1-vllm:v2.0.0stable-cuda12.1.0` | `runpod/worker-v1-vllm:v2.0.0dev-cuda12.1.0` | When creating an Endpoint, select CUDA Version 12.3, 12.2 and 12.1 in the filter. |
docker-bake.hcl
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@@ -7,7 +7,7 @@ variable "REPOSITORY" {
}
variable "BASE_IMAGE_VERSION" {
default = "stable"
default = "v2.0.0stable"
}
group "all" {