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Marut Pandya
2024-08-12 21:02:43 -07:00
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@@ -19,9 +19,8 @@ Deploy OpenAI-Compatible Blazing-Fast LLM Endpoints powered by the [vLLM](https:
![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 `v1.2.0` with vLLM `0.5.4` now available under `stable` tags
**[Note]**: Current stable docker image version still runs vllm v0.5.3, It will be updated soon.
Update v1.1.0 is now available, use the image tag `runpod/worker-v1-vllm:stable-cuda12.1.0`. Update v1.2.0 is now available, use the image tag `runpod/worker-v1-vllm:v1.2.0stable-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!