"model": "llama3", "prompt":"Why is the sky blue?", "stream":false } Send之后: { "model": "llama3", "created_at": "2024-04-24T05:37:33.6433957Z", "response": "What a great question!\n\nThe short answer is that the sky appears blue because of the way that light interacts...
options:Modelfile文档中列出的其他模型参数,例如temperature system:系统消息更改为(覆盖Modelfile) template:要使用的提示模板(覆盖Modelfile) context:从上一个请求返回的 context 参数 to ,这可用于保持较短的对话记忆/generate stream:如果响应将作为单个响应对象返回,而不是对象流false raw:如果没有格式将应用于提示。
model:模型名称 prompt:问题 image:用于多模态模型的,可识别图像 format:返回响应的格式,目前只支持json options:模型参数选项,如温度temperature system:系统信息 template:提示词模板 context:之前的聊天记录 raw:为 true 时,将不对提示语应用格式化。如果您在向应用程序接口发出的请求中指定了完整的提示模板,您可以选...
{"model":"qwen:14b","created_at":"2024-04-09T06:02:39.355910894Z","response":"\n","done":false} {"model":"qwen:14b","created_at":"2024-04-09T06:02:40.020951528Z","response":"","done":true, "context":[...
{"model":"gemma:2b","created_at":"2024-02-22T08:52:14.517119Z","response":".","done":false} {"model":"gemma:2b","created_at":"2024-02-22T08:52:14.622311Z","response":"","done":true,"context":[106,1645,108,4385,603,573,8203,3868,235336,107,108,106,2516,108,651,8203,814...
users understand the context. """ 2.创建LLM: ollama create llama-translator -f ./llama2-translator.Modelfile 创建完后,ollama list 可以发现: llama-translator:latest 40f41df44b0a 3.8 GB 53 minutes ago 3.运行LLM ollama run llama-translator ...
using OllamaSharp; var uri = new Uri("http://localhost:11434"); var ollama = new OllamaApiClient(uri); // select a model which should be used for further operations ollama.SelectedModel = "llama2"; ConversationContext context = null; context = await ollama.StreamCompletion( "How ...
using OllamaSharp; var uri = new Uri("http://localhost:11434"); var ollama = new OllamaApiClient(uri); // select a model which should be used for further operations ollama.SelectedModel = "llama2"; ConversationContext context = null; context = await ollama.StreamCompletion( "How are...
using OllamaSharp;varuri=newUri("http://localhost:11434");varollama=newOllamaApiClient(uri);// select a model which should be used for further operations ollama.SelectedModel="llama2";ConversationContext context=null;context=awaitollama.StreamCompletion("How are you today?",context,stream=>Co...
BasicModelfile An example of aModelfilecreating a mario blueprint: FROM llama3 # sets the temperature to 1 [higher is more creative, lower is more coherent] PARAMETER temperature 1 # sets the context window size to 4096, this controls how many tokens the LLM can use as context to generate...