+1
-1
@@ -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==0.7.0 && \
|
RUN python3 -m pip install vllm==0.7.2 && \
|
||||||
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
|
||||||
|
|||||||
@@ -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:
|
||||||

|

|
||||||
|
|
||||||
### 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
|
### 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!
|
||||||
@@ -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 |
|
| 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. |
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|||||||
+1
-1
@@ -7,7 +7,7 @@ variable "REPOSITORY" {
|
|||||||
}
|
}
|
||||||
|
|
||||||
variable "BASE_IMAGE_VERSION" {
|
variable "BASE_IMAGE_VERSION" {
|
||||||
default = "stable"
|
default = "v2.0.0stable"
|
||||||
}
|
}
|
||||||
|
|
||||||
group "all" {
|
group "all" {
|
||||||
|
|||||||
Reference in New Issue
Block a user