id: 2001
name: GPT-4o
icon_uri: default_icon/openai_v2.png
icon_url: ""
description:
zh: gpt 模型简介
en: Multi-modal, 320ms, 88.7% MMLU, excels in education, customer support, health, and entertainment.
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: "0.7"
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:
name: gpt-4o
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://one.ocoolai.com/v1"
api_key: "sk-你的秘钥"
timeout: 0s
model: "gpt-4o"
temperature: 0.7
frequency_penalty: 0
presence_penalty: 0
max_tokens: 4096
top_p: 1
top_k: 0
stop: []
openai: null
claude: null
ark: null
deepseek: null
qwen: null
gemini: null
custom: {}
status: 0
