default values of max_generated_tokens, top_k, top_p, and temperature?

intel-analytics / ipex-llm

Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, Phi, MiniCPM, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, GraphRAG, DeepSpeed, vLLM, FastChat, Axolotl, etc.

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What are default values of max_generated_tokens, top_k, top_p, and temperature? If user doesn't set all parameters in generate_kwargs such as the example below, it should use default values. How do we get them in which source file?

    # Use custom LLM in BigDL
    from ipex_llm.llamaindex.llms import IpexLLM
    llm = IpexLLM.from_model_id(
        model_name=args.model_path,
        tokenizer_name=args.tokenizer_path,
        context_window=512,
        max_new_tokens=args.n_predict,
        generate_kwargs={"temperature": 0.7, "do_sample": False},
        model_kwargs={},
        messages_to_prompt=messages_to_prompt,
        completion_to_prompt=completion_to_prompt,
        device_map="xpu",
    )

refer to: https://github.com/intel-analytics/ipex-llm/blob/main/python/llm/example/GPU/LlamaIndex/rag.py

intel-analytics / ipex-llm

default values of max_generated_tokens, top_k, top_p, and temperature? #11033