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[None][fix] Updated blog9_Deploying_GPT_OSS_on_TRTLLM #7260

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Aug 26, 2025
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[None][fix] Updated blog9_Deploying_GPT_OSS_on_TRTLLM #7260

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9 changes: 3 additions & 6 deletions docs/source/blogs/tech_blog/blog9_Deploying_GPT_OSS_on_TRTLLM.md
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Expand Up @@ -33,7 +33,7 @@ docker run --rm --ipc=host -it \
-p 8000:8000 \
-e TRTLLM_ENABLE_PDL=1 \
-v ~/.cache:/root/.cache:rw \
nvcr.io/nvidia/tensorrt-llm/release:1.1.0rc0 \
nvcr.io/nvidia/tensorrt-llm/release:1.1.0rc1 \
/bin/bash
```

Expand Down Expand Up @@ -206,12 +206,10 @@ Currently, the best throughput **19.5k tps/gpu** is achieved with DP4EP4 using 4

## Launch the TensorRT-LLM Server

We can use `trtllm-serve` to serve the model by translating the benchmark commands above. For low-latency configuration, run:
We can use `trtllm-serve` to serve the model by translating the benchmark commands above. For low-latency configuration, run:
**Note:** You can also point to a local path containing the model weights instead of the HF repo (e.g., `${local_model_path}`).

```bash
trtllm-serve \
Note: You can also point to a local path containing the model weights instead of the HF repo (e.g., `${local_model_path}`).

trtllm-serve \
openai/gpt-oss-120b \
--host 0.0.0.0 \
Expand All @@ -230,7 +228,6 @@ The initialization may take several minutes as it loads and optimizes the models
For max-throughput configuration, run:

```bash
trtllm-serve \
trtllm-serve \
openai/gpt-oss-120b \
--host 0.0.0.0 \
Expand Down
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