[Doc] Add more tips to avoid OOM

docs/source/serving/offline_inference.md

@@ -28,6 +28,8 @@ Please refer to the above pages for more details about each API.
 [API Reference](/api/offline_inference/index)
 :::
 
+(configuration-options)=
+
 ## Configuration Options
 
 This section lists the most common options for running the vLLM engine.
@@ -184,6 +186,29 @@ llm = LLM(model="google/gemma-3-27b-it",
           limit_mm_per_prompt={"image": 0})
 ```
 
+#### Multi-modal processor arguments
+
+For certain models, you can adjust the multi-modal processor arguments to
+reduce the size of the processed multi-modal inputs, which in turn saves memory.
+
+Here are some examples:
+
+```python
+from vllm import LLM
+
+# Available for Qwen2-VL series models
+llm = LLM(model="Qwen/Qwen2.5-VL-3B-Instruct",
+          mm_processor_kwargs={
+              "max_pixels": 768 * 768,  # Default is 1280 * 28 * 28
+          })
+
+# Available for InternVL series models
+llm = LLM(model="OpenGVLab/InternVL2-2B",
+          mm_processor_kwargs={
+              "max_dynamic_patch": 4,  # Default is 12
+          })
+```
+
 ### Performance optimization and tuning
 
 You can potentially improve the performance of vLLM by finetuning various options.

docs/source/serving/openai_compatible_server.md

@@ -33,11 +33,13 @@ print(completion.choices[0].message)
 vLLM supports some parameters that are not supported by OpenAI, `top_k` for example.
 You can pass these parameters to vLLM using the OpenAI client in the `extra_body` parameter of your requests, i.e. `extra_body={"top_k": 50}` for `top_k`.
 :::
+
 :::{important}
 By default, the server applies `generation_config.json` from the Hugging Face model repository if it exists. This means the default values of certain sampling parameters can be overridden by those recommended by the model creator.
 
 To disable this behavior, please pass `--generation-config vllm` when launching the server.
 :::
+
 ## Supported APIs
 
 We currently support the following OpenAI APIs:
@@ -172,6 +174,12 @@ print(completion._request_id)
 
 The `vllm serve` command is used to launch the OpenAI-compatible server.
 
+:::{tip}
+The vast majority of command-line arguments are based on those for offline inference.
+
+See [here](configuration-options) for some common options.
+:::
+
 :::{argparse}
 :module: vllm.entrypoints.openai.cli_args
 :func: create_parser_for_docs