[docs] fix misspellings & typos (#18276)
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@@ -4,7 +4,7 @@ A typical VLM architecture involves two main components: an multi-modal encoder
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Most VLMs utilize a Vision Transformer (ViT) as their multi-modal encoder, it is responsible for processing visual data, extracting features (objects, colors, textures, etc.), and transforming them into a format that can be understood by the model.
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The text deocoder is based on LLM. It processes textual data and generates output based on the encoded visual features.
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The text decoder is based on LLM. It processes textual data and generates output based on the encoded visual features.
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However, since the size of ViT is very small compared to language decoders,
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there is relatively little gain from TP. On the other hand, TP incurs significant communication
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@@ -212,9 +212,9 @@ Please consult the documentation below and [server_args.py](https://github.com/s
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| `--admin-api-key` | Set **admin API key** for administrative/control endpoints (e.g., weights update, cache flush, `/get_server_info`). Endpoints marked as admin-only require `Authorization: Bearer <admin_api_key>` when this is set. | `None` | Type: str |
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| `--served-model-name` | Override the model name returned by the v1/models endpoint in OpenAI API server. | `None` | Type: str |
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| `--weight-version` | Version identifier for the model weights. Defaults to 'default' if not specified. | `default` | Type: str |
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| `--chat-template` | The buliltin chat template name or the path of the chat template file. This is only used for OpenAI-compatible API server. | `None` | Type: str |
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| `--chat-template` | The builtin chat template name or the path of the chat template file. This is only used for OpenAI-compatible API server. | `None` | Type: str |
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| `--hf-chat-template-name` | When the HuggingFace tokenizer has multiple chat templates (e.g., 'default', 'tool_use', 'rag'), specify which named template to use. If not set, the first available template is used. | `None` | Type: str |
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| `--completion-template` | The buliltin completion template name or the path of the completion template file. This is only used for OpenAI-compatible API server. only for code completion currently. | `None` | Type: str |
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| `--completion-template` | The builtin completion template name or the path of the completion template file. This is only used for OpenAI-compatible API server. only for code completion currently. | `None` | Type: str |
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| `--file-storage-path` | The path of the file storage in backend. | `sglang_storage` | Type: str |
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| `--enable-cache-report` | Return number of cached tokens in usage.prompt_tokens_details for each openai request. | `False` | bool flag (set to enable) |
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| `--reasoning-parser` | Specify the parser for reasoning models. Supported parsers: [deepseek-r1, deepseek-v3, glm45, gpt-oss, kimi, qwen3, qwen3-thinking, step3]. | `None` | `deepseek-r1`, `deepseek-v3`, `glm45`, `gpt-oss`, `kimi`, `qwen3`, `qwen3-thinking`, `step3` |
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