132 lines
4.4 KiB
YAML
132 lines
4.4 KiB
YAML
id: 100 # 模型 entity id, 同 id 数据不会覆盖
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name: test_model
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description: test_description
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meta:
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id: 0
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scenario: 1
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default_parameters:
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-
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name: temperature
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label:
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zh: 生成随机性
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en: Temperature
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desc:
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zh: '- **temperature**: 调高温度会使得模型的输出更多样性和创新性，反之，降低温度会使输出内容更加遵循指令要求但减少多样性。建议不要与“Top p”同时调整。'
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en: '**Temperature**:\n\n- When you increase this value, the model outputs more diverse and innovative content; when you decrease it, the model outputs less diverse content that strictly follows the given instructions.\n- It is recommended not to adjust this value with \"Top p\" at the same time.'
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type: float
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min: '0'
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max: '1'
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precision: 1
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default_val:
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default_val: '1.0'
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creative: '1'
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balance: '0.8'
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precise: '0.3'
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style:
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widget: slider
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label:
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zh: 生成多样性
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en: Generation diversity
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-
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name: max_tokens
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label:
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zh: 最大回复长度
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en: Response max length
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desc:
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zh: '控制模型输出的Tokens 长度上限。通常 100 Tokens 约等于 150 个中文汉字。'
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en: 'You can specify the maximum length of the tokens output through this value. Typically, 100 tokens are approximately equal to 150 Chinese characters.'
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type: int
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min: '1'
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max: '4096'
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precision: 0
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default_val:
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default_val: '4096'
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style:
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widget: slider
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label:
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zh: 输入及输出设置
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en: Input and output settings
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-
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name: top_p
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label:
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zh: Top P
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en: Top P
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desc:
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zh: '- **Top p 为累计概率**: 模型在生成输出时会从概率最高的词汇开始选择，直到这些词汇的总概率累积达到Top p 值。这样可以限制模型只选择这些高概率的词汇，从而控制输出内容的多样性。建议不要与“生成随机性”同时调整。'
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en: '**Top P**:\n\n- An alternative to sampling with temperature, where only tokens within the top p probability mass are considered. For example, 0.1 means only the top 10% probability mass tokens are considered.\n- We recommend altering this or temperature, but not both.'
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type: float
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min: '0'
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max: '1'
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precision: 2
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default_val:
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default_val: '0.7'
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style:
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widget: slider
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label:
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zh: 生成多样性
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en: Generation diversity
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-
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name: frequency_penalty
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label:
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zh: 重复语句惩罚
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en: Frequency penalty
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desc:
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zh: '- **frequency penalty**: 当该值为正时，会阻止模型频繁使用相同的词汇和短语，从而增加输出内容的多样性。'
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en: '**Frequency Penalty**: When positive, it discourages the model from repeating the same words and phrases, thereby increasing the diversity of the output.'
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type: float
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min: '-2'
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max: '2'
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precision: 2
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default_val:
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default_val: '0'
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style:
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widget: slider
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label:
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zh: 生成多样性
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en: Generation diversity
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-
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name: presence_penalty
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label:
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zh: 重复主题惩罚
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en: Presence penalty
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desc:
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zh: '- **presence penalty**: 当该值为正时，会阻止模型频繁讨论相同的主题，从而增加输出内容的多样性'
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en: '**Presence Penalty**: When positive, it prevents the model from discussing the same topics repeatedly, thereby increasing the diversity of the output.'
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type: float
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min: '-2'
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max: '2'
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precision: 2
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default_val:
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default_val: '0'
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style:
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widget: slider
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label:
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zh: 生成多样性
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en: Generation diversity
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-
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name: response_format
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label:
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zh: 输出格式
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en: Response format
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desc:
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zh: '- **文本**: 使用普通文本格式回复\n- **Markdown**: 将引导模型使用Markdown格式输出回复\n- **JSON**: 将引导模型使用JSON格式输出'
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en: '**Response Format**:\n\n- **Text**: Replies in plain text format\n- **Markdown**: Uses Markdown format for replies\n- **JSON**: Uses JSON format for replies'
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type: int
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precision: 0
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default_val:
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default_val: '0'
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options:
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-
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value: '0'
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label: 'Text'
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-
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value: '1'
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label: 'Markdown'
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-
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value: '2'
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label: 'JSON'
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style:
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widget: radio_buttons
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label:
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zh: 输入及输出设置
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en: Input and output settings |