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[v0.11.0][Doc] Update doc (#3852)

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### What this PR does / why we need it?
Update doc


Signed-off-by: hfadzxy <starmoon_zhang@163.com>
This commit is contained in:
zhangxinyuehfad
2025-10-29 11:32:12 +08:00
committed by GitHub
parent 6188450269
commit 75de3fa172
49 changed files with 724 additions and 701 deletions
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14
docs/source/tutorials/multi_npu_qwen3_next.md
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@@ -1,7 +1,7 @@
# Multi-NPU (Qwen3-Next)
```{note}
The Qwen3 Next are using [Triton Ascend](https://gitee.com/ascend/triton-ascend) which is currently experimental. In future versions, there may be behavioral changes around stability, accuracy and performance improvement.
The Qwen3 Next is using [Triton Ascend](https://gitee.com/ascend/triton-ascend) which is currently experimental. In future versions, there may be behavioral changes related to stability, accuracy, and performance improvement.
```
## Run vllm-ascend on Multi-NPU with Qwen3 Next
@@ -31,7 +31,7 @@ docker run --rm \
-it $IMAGE bash
```
Setup environment variables:
Set up environment variables:
```bash
# Load model from ModelScope to speed up download
@@ -41,7 +41,7 @@ export VLLM_USE_MODELSCOPE=True
### Install Triton Ascend
:::::{tab-set}
::::{tab-item} Linux (aarch64)
::::{tab-item} Linux (AArch64)
The [Triton Ascend](https://gitee.com/ascend/triton-ascend) is required when you run Qwen3 Next, please follow the instructions below to install it and its dependency.
@@ -72,7 +72,7 @@ Coming soon ...
### Inference on Multi-NPU
Please make sure you already executed the command:
Please make sure you have already executed the command:
```bash
source /usr/local/Ascend/8.3.RC1/bisheng_toolkit/set_env.sh
@@ -81,15 +81,15 @@ source /usr/local/Ascend/8.3.RC1/bisheng_toolkit/set_env.sh
:::::{tab-set}
::::{tab-item} Online Inference
Run the following script to start the vLLM server on Multi-NPU:
Run the following script to start the vLLM server on multi-NPU:
For an Atlas A2 with 64GB of NPU card memory, tensor-parallel-size should be at least 4, and for 32GB of memory, tensor-parallel-size should be at least 8.
For an Atlas A2 with 64 GB of NPU card memory, tensor-parallel-size should be at least 4, and for 32 GB of memory, tensor-parallel-size should be at least 8.
```bash
vllm serve Qwen/Qwen3-Next-80B-A3B-Instruct --tensor-parallel-size 4 --max-model-len 4096 --gpu-memory-utilization 0.7 --enforce-eager
```
Once your server is started, you can query the model with input prompts
Once your server is started, you can query the model with input prompts.
```bash
curl http://localhost:8000/v1/chat/completions -H "Content-Type: application/json" -d '{