ollama run gemma:2b 启动了gemma:2b的服务。 跑在了MX250显卡上,速度还可以。 Post: 例代码: import requests import json def send_message_to_ollama(message, port=11434): url = f"http://127.0.0.1:{port}/api/chat" payload = { "model": "gemma:2b", "messages": [{"role": "user", "...
OLLAMA_BASE_URL='http://localhost:11434' OPENAI_API_BASE_URL='' OPENAI_API_KEY='' Expand Down 2 changes: 1 addition & 1 deletion2Dockerfile Original file line numberDiff line numberDiff line change Expand Up@@ -20,7 +20,7 @@ FROM python:3.11-slim-bookworm as base ...
spring.ai.ollama.base-url=http://localhost:11434 spring.ai.ollama.chat.model=deepseek-r1:1.5b spring.ai.ollama.base-url: Ollama的API服务地址,如果部署在非本机,就需要做对应的修改 spring.ai.ollama.chat.model: 要调用的模型名称,对应上一节ollama run命令运行的模型名称 写个单元测试,尝试调用O...
baseurl=file:///opt/centos gpgcheck=0 enabled=1 [docker] name=docker baseurl=file:///opt/Docker gpgcheck=0 enabled=1 [root@feng ~]# yum clean all [root@feng ~]# yum repolist Loaded plugins: fastestmirror centos | 3.6 kB 00:00 docker | 2.9 kB 00:00 (1/3): centos/group_gz | ...
import requests # 设置API的基础URL和请求头 base_url = "http://localhost:11434/api" headers = { "Content-Type": "application/json" } # 定义API请求的目标端点和参数 url = f"{base_url}/generate" data = { "model": "qwen2.5:0.5b", "prompt": "介绍一下人工智能。", "stream": False ...
client=OpenAI( base_url='http://localhost:11434/v1/', api_key='ollama',# required, but unused ) response=client.chat.completions.create( model="qwen2:1.5b", messages=[ {"role":"system","content":"You are a helpful assistant."}, ...
state.OPENAI_API_BASE_URL}/{path}" body = await request.body() headers = dict(request.headers) print(target_url, app.state.OPENAI_API_KEY) if user.role not in ["user", "admin"]: raise HTTPException(status_code=401, detail=ERROR_MESSAGES.ACCESS_PROHIBITED) if app.state.OPENAI_API_...
url = "http://192.168.1.199:11434/api/chat" data = { "model": "qwen2.5:0.5b", "messages": [ {"role": "system", "content": "你现在是一名合格的售票员,你还可以随意生成一些航班路线提供给用户,请扮演好您的角色。"}, {"role": "user", "content": "你好,我想订一张机票。"}, {"rol...
spring.ai.ollama.base-url=http://localhost:11434 spring.ai.ollama.chat.model=deepseek-r1:1.5b 1. 2. •spring.ai.ollama.base-url: Ollama的API服务地址,如果部署在非本机,就需要做对应的修改 •spring.ai.ollama.chat.model: 要调用的模型名称,对应上一节ollama run命令运行的模型名称 ...
spring.ai.ollama.base-url=http://localhost:11434spring.ai.ollama.chat.model=deepseek-r1:1.5b •spring.ai.ollama.base-url: Ollama的API服务地址,如果部署在非本机,就需要做对应的修改 •spring.ai.ollama.chat.model: 要调用的模型名称,对应上一节ollama run命令运行的模型名称 ...