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feat: add n1n.ai provider #2589
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,166 @@ | ||
| id: 99010 | ||
| name: N1N-GPT-4o | ||
| icon_uri: default_icon/n1n.png | ||
| icon_url: "" | ||
| description: | ||
| zh: N1N AI 聚合模型 | ||
| en: N1N AI Aggregated Model | ||
| default_parameters: | ||
| - name: temperature | ||
| label: | ||
| zh: 生成随机性 | ||
| en: Temperature | ||
| desc: | ||
| 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。' | ||
| 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.' | ||
| type: float | ||
| min: "0" | ||
| max: "1" | ||
| default_val: | ||
| balance: "0.8" | ||
| creative: "1" | ||
| default_val: "1.0" | ||
| precise: "0.3" | ||
| precision: 1 | ||
| options: [] | ||
| style: | ||
| widget: slider | ||
| label: | ||
| zh: 生成多样性 | ||
| en: Generation diversity | ||
| - name: max_tokens | ||
| label: | ||
| zh: 最大回复长度 | ||
| en: Response max length | ||
| desc: | ||
| 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。 | ||
| en: You can specify the maximum length of the tokens output through this value. Typically, 100 tokens are approximately equal to 150 Chinese characters. | ||
| type: int | ||
| min: "1" | ||
| max: "4096" | ||
| default_val: | ||
| default_val: "4096" | ||
| options: [] | ||
| style: | ||
| widget: slider | ||
| label: | ||
| zh: 输入及输出设置 | ||
| en: Input and output settings | ||
| - name: top_p | ||
| label: | ||
| zh: Top P | ||
| en: Top P | ||
| desc: | ||
| 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。' | ||
| 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.' | ||
| type: float | ||
| min: "0" | ||
| max: "1" | ||
| default_val: | ||
| default_val: "0.95" | ||
| precision: 2 | ||
| options: [] | ||
| style: | ||
| widget: slider | ||
| label: | ||
| zh: 生成多样性 | ||
| en: Generation diversity | ||
| - name: frequency_penalty | ||
| label: | ||
| zh: 重复语句惩罚 | ||
| en: Frequency penalty | ||
| desc: | ||
| 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。' | ||
| en: '**Frequency Penalty**: When positive, it discourages the model from repeating the same words and phrases, thereby increasing the diversity of the output.' | ||
| type: float | ||
| min: "-2" | ||
| max: "2" | ||
| default_val: | ||
| default_val: "0" | ||
| precision: 2 | ||
| options: [] | ||
| style: | ||
| widget: slider | ||
| label: | ||
| zh: 生成多样性 | ||
| en: Generation diversity | ||
| - name: presence_penalty | ||
| label: | ||
| zh: 重复主题惩罚 | ||
| en: Presence penalty | ||
| desc: | ||
| 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' | ||
| en: '**Presence Penalty**: When positive, it prevents the model from discussing the same topics repeatedly, thereby increasing the diversity of the output.' | ||
| type: float | ||
| min: "-2" | ||
| max: "2" | ||
| default_val: | ||
| default_val: "0" | ||
| precision: 2 | ||
| options: [] | ||
| style: | ||
| widget: slider | ||
| label: | ||
| zh: 生成多样性 | ||
| en: Generation diversity | ||
| - name: response_format | ||
| label: | ||
| zh: 输出格式 | ||
| en: Response format | ||
| desc: | ||
| 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' | ||
| 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' | ||
| type: int | ||
| min: "" | ||
| max: "" | ||
| default_val: | ||
| default_val: "0" | ||
| options: | ||
| - label: Text | ||
| value: "0" | ||
| - label: Markdown | ||
| value: "1" | ||
| - label: JSON | ||
| value: "2" | ||
| style: | ||
| widget: radio_buttons | ||
| label: | ||
| zh: 输入及输出设置 | ||
| en: Input and output settings | ||
| meta: | ||
| protocol: openai | ||
| capability: | ||
| function_call: true | ||
| input_modal: | ||
| - text | ||
| - image | ||
| input_tokens: 128000 | ||
| json_mode: false | ||
| max_tokens: 128000 | ||
| output_modal: | ||
| - text | ||
| output_tokens: 16384 | ||
| prefix_caching: false | ||
| reasoning: false | ||
| prefill_response: false | ||
| conn_config: | ||
| base_url: "https://api.n1n.ai/v1" | ||
| api_key: "" | ||
| timeout: 0s | ||
| model: "" | ||
| temperature: 0.7 | ||
| frequency_penalty: 0 | ||
| presence_penalty: 0 | ||
| max_tokens: 4096 | ||
| max_completion_tokens: 4096 | ||
| top_p: 1 | ||
| top_k: 0 | ||
| stop: [] | ||
| openai: | ||
| by_azure: false | ||
| api_version: "" | ||
| response_format: | ||
| type: text | ||
| jsonschema: null | ||
| custom: {} | ||
| status: 0 |
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这个文件夹下面的 模版没用了,现在都是通过管理后台 动态去添加 模型了。不用加这个文件。