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Mar 6, 2025
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doc: fix wrong model path in vllm_backend readme #84

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doc: fix wrong model path in vllm_backend readme
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7 changes: 4 additions & 3 deletions README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -145,7 +145,8 @@ We will use the [pre-built Triton container with vLLM backend](#option-1-use-the
[NGC](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/tritonserver) in this example.

```
docker run --gpus all -it --net=host --rm -p 8001:8001 --shm-size=1G --ulimit memlock=-1 --ulimit stack=67108864 -v ${PWD}:/work -w /work nvcr.io/nvidia/tritonserver:<xx.yy>-vllm-python-py3 tritonserver --model-repository ./model_repository
# cd into vllm_backend directory
docker run --gpus all -it --net=host --rm -p 8001:8001 --shm-size=1G --ulimit memlock=-1 --ulimit stack=67108864 -v ${PWD}:/work -w /work nvcr.io/nvidia/tritonserver:<xx.yy>-vllm-python-py3 tritonserver --model-repository ./samples/model_repository
```

Replace \<xx.yy\> with the version of Triton that you want to use.
Expand All @@ -171,10 +172,10 @@ with the
you can quickly run your first inference request with the
[generate endpoint](https://github.com/triton-inference-server/server/blob/main/docs/protocol/extension_generate.md).

Try out the command below.
Try out the command below from another terminal:

```
$ curl -X POST localhost:8000/v2/models/vllm_model/generate -d '{"text_input": "What is Triton Inference Server?", "parameters": {"stream": false, "temperature": 0}}'
curl -X POST localhost:8000/v2/models/vllm_model/generate -d '{"text_input": "What is Triton Inference Server?", "parameters": {"stream": false, "temperature": 0}}'
```

Upon success, you should see a response from the server like this one:
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