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Add examples to token-in-token-out for LLM (#4010)

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Chayenne
2025-03-02 21:03:49 -08:00
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docs/backend/server_arguments.md
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@@ -52,7 +52,7 @@ Please consult the documentation below to learn more about the parameters you ma
* `chat_template`: The chat template to use. Deviating from the default might lead to unexpected responses. For multi-modal chat templates, refer to [here](https://docs.sglang.ai/backend/openai_api_vision.html#Chat-Template).
* `is_embedding`: Set to true to perform [embedding](https://docs.sglang.ai/backend/openai_api_embeddings.html) / [encode](https://docs.sglang.ai/backend/native_api.html#Encode-(embedding-model)) and [reward](https://docs.sglang.ai/backend/native_api.html#Classify-(reward-model)) tasks.
* `revision`: Adjust if a specific version of the model should be used.
* `skip_tokenizer_init`: Set to true to provide the tokens to the engine and get the output tokens directly, typically used in RLHF. Please see this [example for reference](https://github.com/sgl-project/sglang/blob/main/examples/runtime/engine/input_ids.py).
* `skip_tokenizer_init`: Set to true to provide the tokens to the engine and get the output tokens directly, typically used in RLHF. Please see this [example for reference](https://github.com/sgl-project/sglang/blob/main/examples/runtime/engine/token_in_token_out_llm.py).
* `json_model_override_args`: Override model config with the provided JSON.
* `delete_ckpt_after_loading`: Delete the model checkpoint after loading the model.