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[Doc]Modify errors in the tutorial document(qwen2-audio-7b) #4496

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[Doc]Modify errors in the tutorial document(qwen2-audio-7b) #4496

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8 changes: 4 additions & 4 deletions docs/source/tutorials/single_npu_qwen2_audio.md
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Original file line number Diff line number Diff line change
Expand Up @@ -53,7 +53,7 @@ Run the following script to execute offline inference on a single NPU:
```python
from vllm import LLM, SamplingParams
from vllm.assets.audio import AudioAsset
from vllm.utils import FlexibleArgumentParser
from vllm.utils.argparse_utils import FlexibleArgumentParser

# If network issues prevent AudioAsset from fetching remote audio files, retry or check your network.
audio_assets = [AudioAsset("mary_had_lamb"), AudioAsset("winning_call")]
Expand Down Expand Up @@ -177,8 +177,8 @@ docker run --rm \
-e PYTORCH_NPU_ALLOC_CONF=max_split_size_mb:256 \
-it $IMAGE \
vllm serve Qwen/Qwen2-Audio-7B-Instruct \
--max_model_len 16384 \
--max-num-batched-tokens 16384 \
--max_model_len 8192 \
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@gemini-code-assist gemini-code-assist bot Nov 27, 2025

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high

The command-line argument for setting the maximum model length should use a hyphen instead of an underscore. The correct argument is --max-model-len, not --max_model_len. Using an underscore will likely cause the argument to be unrecognized and the command to fail.

Suggested change
--max_model_len 8192 \
--max-model-len 8192 \

--max-num-batched-tokens 8192 \
--limit-mm-per-prompt '{"audio":2}' \
--chat-template /path/to/your/vllm-ascend/examples/chat_templates/template_qwen2_audio.jinja
```
Expand All @@ -201,7 +201,7 @@ Once your server is started, you can query the model with input prompts:
curl -X POST http://localhost:8000/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "/root/.cache/modelscope/models/Qwen/Qwen2-Audio-7B-Instruct",
"model": "Qwen/Qwen2-Audio-7B-Instruct",
"messages": [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": [
Expand Down
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