Chat(LLaMA3.2多模态)
POST
/chat/completionsMeta最新的开源模型,支持:
llama3.2-90b
llama3.2-11b
请求参数
要使用的模型的 ID。有关哪些模型适用于聊天 API 的详细信息,请参阅模型端点兼容性表。
以聊天格式生成聊天完成的消息。
使用什么采样温度,介于 0 和 2 之间。较高的值(如 0.8)将使输出更加随机,而较低的值(如 0.2)将使输出更加集中和确定。 我们通常建议改变这个或top_p
但不是两者。
一种替代温度采样的方法,称为核采样,其中模型考虑具有 top_p 概率质量的标记的结果。所以 0.1 意味着只考虑构成前 10% 概率质量的标记。 我们通常建议改变这个或temperature
但不是两者。
为每个输入消息生成多少个聊天完成选项。
API 将停止生成更多令牌的最多 4 个序列。
聊天完成时生成的最大令牌数。 输入标记和生成标记的总长度受模型上下文长度的限制。
-2.0 和 2.0 之间的数字。正值会根据到目前为止是否出现在文本中来惩罚新标记,从而增加模型谈论新主题的可能性。 查看有关频率和存在惩罚的更多信息。
-2.0 和 2.0 之间的数字。正值会根据新标记在文本中的现有频率对其进行惩罚,从而降低模型逐字重复同一行的可能性。 查看有关频率和存在惩罚的更多信息。
修改指定标记出现在完成中的可能性。 接受一个 json 对象,该对象将标记(由标记器中的标记 ID 指定)映射到从 -100 到 100 的关联偏差值。从数学上讲,偏差会在采样之前添加到模型生成的 logits 中。确切的效果因模型而异,但 -1 和 1 之间的值应该会减少或增加选择的可能性;像 -100 或 100 这样的值应该导致相关令牌的禁止或独占选择。
代表您的最终用户的唯一标识符,可以帮助 OpenAI 监控和检测滥用行为。了解更多。
{
"model": "llama3.2-90b",
"messages": [
{
"role": "user",
"content": [
{
"type": "text",
"text": "这是什么"
},
{
"type": "image_url",
"image_url": {
"url": 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"
}
}
]
}
]
}
示例代码
返回响应
{
"id": "chatcmpl-123",
"object": "chat.completion",
"created": 1677652288,
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "\n\nHello there, how may I assist you today?"
},
"finish_reason": "stop"
}
],
"usage": {
"prompt_tokens": 9,
"completion_tokens": 12,
"total_tokens": 21
}
}