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[Doc] Update max_tokens to max_completion_tokens in all docs (#6248)

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

Fix:

```
DeprecationWarning: max_tokens is deprecated in favor of the max_completion_tokens field.
```

- vLLM version: v0.14.1
- vLLM main:
d68209402d

Signed-off-by: shen-shanshan <467638484@qq.com>
This commit is contained in:
Shanshan Shen
2026-01-26 11:57:40 +08:00
committed by GitHub
parent 418fccf0bc
commit e3eefdecbd
28 changed files with 43 additions and 43 deletions
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14
docs/source/tutorials/310p.md
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@@ -78,7 +78,7 @@ curl http://localhost:8000/v1/completions \
-H "Content-Type: application/json" \
-d '{
"prompt": "The future of AI is",
"max_tokens": 64,
"max_completion_tokens": 64,
"top_p": 0.95,
"top_k": 50,
"temperature": 0.6
@@ -108,7 +108,7 @@ curl http://localhost:8000/v1/completions \
-H "Content-Type: application/json" \
-d '{
"prompt": "The future of AI is",
"max_tokens": 64,
"max_completion_tokens": 64,
"top_p": 0.95,
"top_k": 50,
"temperature": 0.6
@@ -138,7 +138,7 @@ curl http://localhost:8000/v1/completions \
-H "Content-Type: application/json" \
-d '{
"prompt": "The future of AI is",
"max_tokens": 64,
"max_completion_tokens": 64,
"top_p": 0.95,
"top_k": 50,
"temperature": 0.6
@@ -179,7 +179,7 @@ curl http://localhost:8000/v1/completions \
-H "Content-Type: application/json" \
-d '{
"prompt": "[unused9]系统：[unused10][unused9]用户：'${question}'[unused10][unused9]助手：",
"max_tokens": 64,
"max_completion_tokens": 64,
"top_p": 0.95,
"top_k": 50,
"temperature": 0.6
@@ -221,7 +221,7 @@ prompts = [
"The future of AI is",
]
# Create a sampling params object.
sampling_params = SamplingParams(max_tokens=100, temperature=0.0)
sampling_params = SamplingParams(max_completion_tokens=100, temperature=0.0)
# Create an LLM.
llm = LLM(
model="Qwen/Qwen3-0.6B",
@@ -264,7 +264,7 @@ prompts = [
"The future of AI is",
]
# Create a sampling params object.
sampling_params = SamplingParams(max_tokens=100, temperature=0.0)
sampling_params = SamplingParams(max_completion_tokens=100, temperature=0.0)
# Create an LLM.
llm = LLM(
model="Qwen/Qwen2.5-7B-Instruct",
@@ -307,7 +307,7 @@ prompts = [
"The future of AI is",
]
# Create a sampling params object.
sampling_params = SamplingParams(max_tokens=100, top_p=0.95, top_k=50, temperature=0.6)
sampling_params = SamplingParams(max_completion_tokens=100, top_p=0.95, top_k=50, temperature=0.6)
# Create an LLM.
llm = LLM(
model="Qwen/Qwen2.5-VL-3B-Instruct",