docs: fix issues in gpt-oss guide (#2304)

components/backends/trtllm/gpt-oss.md

@@ -70,7 +70,7 @@ docker build -f container/Dockerfile.tensorrt_llm_prebuilt . \
 ```bash
 export MODEL_PATH=<LOCAL_MODEL_DIRECTORY>
 
-huggingface-cli download openai/gpt-oss-120b --include "original/*" --local-dir $MODEL_PATH
+huggingface-cli download openai/gpt-oss-120b --exclude "original/*" --exclude "metal/*" --local-dir $MODEL_PATH
 ```
 
 ### 3. Run the Container
@@ -84,7 +84,7 @@ docker run \
     --rm \
     --network host \
     --volume $MODEL_PATH:/model \
-    --volume $PWD:/workspace/dynamo \
+    --volume $PWD:/workspace \
     --shm-size=10G \
     --ulimit memlock=-1 \
     --ulimit stack=67108864 \
@@ -149,7 +149,7 @@ You can use the provided launch script or run the components manually:
 #### Option A: Using the Launch Script
 
 ```bash
-cd /workspace/dynamo/components/backends/trtllm
+cd /workspace/components/backends/trtllm
 ./launch/gpt_oss_disagg.sh
 ```
 
@@ -170,7 +170,7 @@ python3 -m dynamo.frontend --router-mode round-robin --http-port 8000 &
 ```bash
 CUDA_VISIBLE_DEVICES=0,1,2,3 python3 -m dynamo.trtllm \
   --model-path /model \
-  --served-model-name gpt-oss-120b \
+  --served-model-name openai/gpt-oss-120b \
   --extra-engine-args engine_configs/gpt_oss/prefill.yaml \
   --disaggregation-mode prefill \
   --disaggregation-strategy prefill_first \
@@ -185,7 +185,7 @@ CUDA_VISIBLE_DEVICES=0,1,2,3 python3 -m dynamo.trtllm \
 ```bash
 CUDA_VISIBLE_DEVICES=4,5,6,7 python3 -m dynamo.trtllm \
   --model-path /model \
-  --served-model-name gpt-oss-120b \
+  --served-model-name openai/gpt-oss-120b \
   --extra-engine-args engine_configs/gpt_oss/decode.yaml \
   --disaggregation-mode decode \
   --disaggregation-strategy prefill_first \
@@ -204,7 +204,7 @@ Send a test request to verify the deployment:
 curl -X POST http://localhost:8000/v1/responses \
   -H "Content-Type: application/json" \
   -d '{
-    "model": "gpt-oss-120b",
+    "model": "openai/gpt-oss-120b",
     "input": "Explain the concept of disaggregated serving in LLM inference in 3 sentences.",
     "max_output_tokens": 200,
     "stream": false
@@ -227,7 +227,7 @@ mkdir -p /tmp/benchmark-results
 
 # Run the benchmark - this command tests the deployment with high-concurrency synthetic workload
 genai-perf profile \
-    --model gpt-oss-120b \
+    --model openai/gpt-oss-120b \
     --tokenizer /model \
     --endpoint-type chat \
     --endpoint /v1/chat/completions \

components/backends/trtllm/launch/gpt_oss_disagg.sh

@@ -4,7 +4,7 @@
 
 # Environment variables with defaults
 export MODEL_PATH=${MODEL_PATH:-"/model"}
-export SERVED_MODEL_NAME=${SERVED_MODEL_NAME:-"gpt-oss-120b"}
+export SERVED_MODEL_NAME=${SERVED_MODEL_NAME:-"openai/gpt-oss-120b"}
 export DISAGGREGATION_STRATEGY=${DISAGGREGATION_STRATEGY:-"prefill_first"}
 export PREFILL_ENGINE_ARGS=${PREFILL_ENGINE_ARGS:-"engine_configs/gpt_oss/prefill.yaml"}
 export DECODE_ENGINE_ARGS=${DECODE_ENGINE_ARGS:-"engine_configs/gpt_oss/decode.yaml"}