I am able to chat just fine with my llama3:instruct model just fine, but when I try to use the autocomplete, it is always failing with a 500 status on the api/generate call. MacOS version: Sonoma 14.5 ollama version: 0.3.0 model: llama3:...
"api_key":"ollama" , "price": [0.0, 0.0], }] 将上面的信息如实填写,运行代码即可。 #!pip install openai #如果没有安装openai包 from openai import OpenAI client = OpenAI( base_url = "http://192.168.0.110:11434/v1", api_key = "ollama"#可以不输 ) completion = client.chat.completio...
配置文件信息: {"models":[{"title":"ollama",#title随便写"model":"gemma",#model名"completionOptions":{},"apiBase":"http://127.0.0.1:11434","provider":"ollama"}],..."tabAutocompleteModel":{"title":"gemma",#title随便写"provider":"ollama","model":"gemma",#model名"apiBase":"http:...
我对 Visual Studio Code 不是太感兴趣，但是一旦你设置了一个带有 NuGet 支持的 C# 控制台项目，启动速度就会很快。以下是与 Ollama 联系并发送查询的代码：using OllamaSharp; var uri = new Uri("http://localhost:11434"); var ollama = new OllamaApiClient(uri); // select a model which shou...
2024年2月8号,Ollama中的兼容了OpenAI Chat Completions API,具体见https://ollama.com/blog/openai-compatibility。 因此在SemanticKernel/C#中使用Ollama中的对话模型就比较简单了。 varkernel=Kernel.CreateBuilder().AddOpenAIChatCompletion(modelId:"gemma2:2b",apiKey:null,endpoint:newUri("http://localhost:...
curl http://localhost:11434/api/generate -d '{ "model": "codellama:code", "prompt": "def compute_gcd(a, b):", "suffix": " return result", "options": { "temperature": 0 }, "stream": false }' Response { "model": "codellama:code", "created_at": "2024-07-22T20:47:51.1475...
You have an OpenAI API Key. You have an Azure OpenAI API Key. When you have an API key, you just need to select the official direct connection or fill in the Azure OpenAI related server endpoint parameters. Your request will be sent directly to Open AI or Azure without any authentication...
response=completion( model="ollama/qwen2:1.5b", messages=[{"content":"Hello, how are you?","role":"user"}] ) print(response) 效果 实际api 调用( 通过wireshark 分析的) 说明 litellm ollama python 代码模型的运行也是通过基于ollama 提供的接口调用,只是对于model 格式上有一个比较明确的定义,o...
obaseURL = "http://localhost:11434/api" omodelID = "qwen2:0.5b" // 选择合适的模型 oendpoint = "/chat" //"/chat/completions" ) // ChatCompletionRequest 定义了请求体的结构 type olChatCompletionRequest struct { Model string `json:"model"` ...
2024年2月8号,Ollama中的兼容了OpenAI Chat Completions API,具体见https://ollama.com/blog/openai-compatibility。 因此在SemanticKernel/C#中使用Ollama中的对话模型就比较简单了。 var kernel = Kernel.CreateBuilder().AddOpenAIChatCompletion(modelId: "gemma2:2b", apiKey: null, endpoint: new Uri("http...