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    Interface Ai_Cf_Qwen_Qwen2_5_Coder_32B_Instruct_Prompt

    interface Ai_Cf_Qwen_Qwen2_5_Coder_32B_Instruct_Prompt {
        frequency_penalty?: number;
        lora?: string;
        max_tokens?: number;
        presence_penalty?: number;
        prompt: string;
        raw?: boolean;
        repetition_penalty?: number;
        response_format?: Ai_Cf_Qwen_Qwen2_5_Coder_32B_Instruct_JSON_Mode;
        seed?: number;
        stream?: boolean;
        temperature?: number;
        top_k?: number;
        top_p?: number;
    }
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    Properties

    frequency_penalty? lora? max_tokens? presence_penalty? prompt raw? repetition_penalty? response_format? seed? stream? temperature? top_k? top_p?

    Properties

    frequency_penalty?: number

    Decreases the likelihood of the model repeating the same lines verbatim.

    lora?: string

    Name of the LoRA (Low-Rank Adaptation) model to fine-tune the base model.

    max_tokens?: number

    The maximum number of tokens to generate in the response.

    presence_penalty?: number

    Increases the likelihood of the model introducing new topics.

    prompt: string

    The input text prompt for the model to generate a response.

    raw?: boolean

    If true, a chat template is not applied and you must adhere to the specific model's expected formatting.

    repetition_penalty?: number

    Penalty for repeated tokens; higher values discourage repetition.

    response_format?: Ai_Cf_Qwen_Qwen2_5_Coder_32B_Instruct_JSON_Mode
    seed?: number

    Random seed for reproducibility of the generation.

    stream?: boolean

    If true, the response will be streamed back incrementally using SSE, Server Sent Events.

    temperature?: number

    Controls the randomness of the output; higher values produce more random results.

    top_k?: number

    Limits the AI to choose from the top 'k' most probable words. Lower values make responses more focused; higher values introduce more variety and potential surprises.

    top_p?: number

    Adjusts the creativity of the AI's responses by controlling how many possible words it considers. Lower values make outputs more predictable; higher values allow for more varied and creative responses.

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