From 566ff9bb202d42154fea96b3c8c11d3ece2c5991 Mon Sep 17 00:00:00 2001
From: FlintyLemming <admin@flinty.moe>
Date: Thu, 31 Jul 2025 09:55:07 +0800
Subject: [PATCH] new post

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+author = "FlintyLemming"
+title = "vLLM 部署 Qwen3 Coder 模型"
+slug = "eLBq4yDXSuCAP1zP7dPYnq"
+date = "2025-07-31"
+description = "建议就用 256k 上下文，1M Prefill 太慢了"
+categories = ["Coding"]
+tags = ["Qwen", "AI"]
+image = "https://img.mitsea.com/blog/posts/2025/07/vLLM%20%E9%83%A8%E7%BD%B2%20Qwen3%20Coder%20%E6%A8%A1%E5%9E%8B/vadim-kaipov-WA2YYz0tIFY-unsplash.avif"
++++
+
+## 文档参照
+
+Qwen 官方已经更新了他们的文档，部署中遇到的问题在这里看[文档](https://qwen.readthedocs.io/zh-cn/latest/deployment/vllm.html)都能解决。只不过他没有给你现成的命令，需要你自己理解一下。（虽然我也不好说自己有没有理解对.jpg）
+
+其次 vLLM 官方的[这个文档](https://docs.vllm.ai/projects/recipes/en/latest/Qwen/Qwen3-Coder-480B-A35B.html)不要看，方法是错的，我怀疑已经废弃但是没有删。
+
+本教程使用 H200 GPU。
+
+## 256k 上下文启动
+
+按照以下命令启动即可
+
+```bash 
+vllm serve /mnt/extend/models/llm/Qwen/Qwen3-Coder-480B-A35B-Instruct-FP8 \
+  --tensor-parallel-size 8 \
+  --enable-expert-parallel \
+  --enable-auto-tool-choice \
+  --tool-call-parser qwen3_coder \
+  --served-model-name Qwen3-Coder-480B-A35B-Instruct
+```
+
+
+启动后默认就是 256k 上下文
+
+![](https://img.mitsea.com/blog/posts/2025/07/vLLM%20%E9%83%A8%E7%BD%B2%20Qwen3%20Coder%20%E6%A8%A1%E5%9E%8B/image_TvuskXp7i8.avif)
+
+可以看到，每张卡剩余 61.31GB 显存，能开出来 2,073,680 tokens 的 KV Cache
+
+## 1M 上下文启动
+
+尝试直接按照下面的命令启动会报错
+
+```bash 
+vllm serve /mnt/extend/models/llm/Qwen/Qwen3-Coder-480B-A35B-Instruct-FP8 \
+  --tensor-parallel-size 8 \
+  --enable-expert-parallel \
+  --max-model-len 1048576 \
+  --enable-auto-tool-choice \
+  --tool-call-parser qwen3_coder \
+  --served-model-name Qwen3-Coder-480B-A35B-Instruct
+```
+
+
+报这个错
+
+```python 
+Value error, User-specified max_model_len (1048576) is greater than the derived max_model_len (max_position_embeddings=262144 or model_max_length=None in model's config.json). This may lead to incorrect model outputs or CUDA errors. To allow overriding this maximum, set the env var VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 [type=value_error, input_value=ArgsKwargs((), {'model': ...attention_dtype': None}), input_type=ArgsKwargs]
+```
+
+
+然后我就尝试修改模型的 `config.json`
+
+```json 
+"max_position_embeddings": 1048576,
+  ...
+  "rope_scaling": {
+    "type": "yarn",
+    "factor": 4.0,
+    "original_max_position_embeddings": 262144
+  },
+```
+
+
+或者不改配置文件也行，直接把这个配置加到启动参数里
+
+```bash 
+VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 vllm serve /mnt/extend/models/llm/Qwen/Qwen3-Coder-480B-A35B-Instruct-FP8 \
+  --tensor-parallel-size 8 \
+  --enable-expert-parallel \
+  --max-model-len 1048576 \
+  --rope-scaling '{"rope_type":"yarn","factor":4.0,"original_max_position_embeddings":262144}' \
+  --enable-auto-tool-choice \
+  --tool-call-parser qwen3_coder \
+  --served-model-name Qwen3-Coder-480B-A35B-Instruct
+```
+
+
+这样就是 1M 上下文了
+
+![](https://img.mitsea.com/blog/posts/2025/07/vLLM%20%E9%83%A8%E7%BD%B2%20Qwen3%20Coder%20%E6%A8%A1%E5%9E%8B/image_nv03Dz6S9a.avif)
+
+> Photo by [vadim kaipov](https://unsplash.com/@vadimkaipov?utm_content=creditCopyText&utm_medium=referral&utm_source=unsplash) on [Unsplash](https://unsplash.com/photos/abstracted-view-of-a-forest-with-blurred-lines-WA2YYz0tIFY?utm_content=creditCopyText&utm_medium=referral&utm_source=unsplash)
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