docker 本地部署大模型(ollama)

docker 安装 ollama

复制代码
docker search ollama
docker pull ollama/ollama

###docker下载ollama部署
docker run -d -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama

### 下载模型
docker exec -it ollama ollama pull llama3

### 交互式运行模型
 docker exec -it ollama ollama run llama3

注意有坑 :docker -v ollama:/root/.ollama

此处由于挂载目录使用了相对路径,所以本地文件夹位于 /var/lib/docker/volumes/ollama

而非运行命令的相对路径

测试 api

复制代码
$ curl http://localhost:14444/api/generate -d '{ "model": "llama3", "prompt": "請列出五樣台灣美食", "stream": true, "options": { "seed": 123, "top_k": 20, "top_p": 0.9, "temperature": 0 } }'
{"model":"llama3","created_at":"2024-07-08T03:49:16.611142384Z","response":"Here","done":false}
{"model":"llama3","created_at":"2024-07-08T03:49:16.758150085Z","response":" are","done":false}
{"model":"llama3","created_at":"2024-07-08T03:49:16.903960154Z","response":" ","done":false}
{"model":"llama3","created_at":"2024-07-08T03:49:17.048831268Z","response":"5","done":false}
{"model":"llama3","created_at":"2024-07-08T03:49:17.192653835Z","response":" must","done":false}
{"model":"llama3","created_at":"2024-07-08T03:49:17.340323632Z","response":"-","done":false}
{"model":"llama3","created_at":"2024-07-08T03:49:17.490090786Z","response":"try","done":false}
{"model":"llama3","created_at":"2024-07-08T03:49:17.630377981Z","response":" Taiwanese","done":false}
{"model":"llama3","created_at":"2024-07-08T03:49:17.79671948Z","response":" dishes","done":false}
{"model":"llama3","created_at":"2024-07-08T03:49:17.947959672Z","response":":\n\n","done":false}
.......
{"model":"llama3","created_at":"2024-07-08T03:49:51.670524112Z","response":" dishes","done":false}
{"model":"llama3","created_at":"2024-07-08T03:49:51.80466663Z","response":" showcase","done":false}
{"model":"llama3","created_at":"2024-07-08T03:49:51.953821627Z","response":" the","done":false}
{"model":"llama3","created_at":"2024-07-08T03:49:52.112141942Z","response":" diversity","done":false}
{"model":"llama3","created_at":"2024-07-08T03:49:52.274051058Z","response":" and","done":false}
{"model":"llama3","created_at":"2024-07-08T03:49:52.41761068Z","response":" richness","done":false}
{"model":"llama3","created_at":"2024-07-08T03:49:52.571736412Z","response":" of","done":false}
{"model":"llama3","created_at":"2024-07-08T03:49:52.719734804Z","response":" Taiwanese","done":false}
{"model":"llama3","created_at":"2024-07-08T03:49:52.857012216Z","response":" cuisine","done":false}
{"model":"llama3","created_at":"2024-07-08T03:49:52.998817903Z","response":",","done":false}
{"model":"llama3","created_at":"2024-07-08T03:49:53.166612385Z","response":" which","done":false}
{"model":"llama3","created_at":"2024-07-08T03:49:53.342996684Z","response":" often","done":false}
{"model":"llama3","created_at":"2024-07-08T03:49:53.510572997Z","response":" combines","done":false}
{"model":"llama3","created_at":"2024-07-08T03:49:53.668246714Z","response":" Chinese","done":false}
{"model":"llama3","created_at":"2024-07-08T03:49:53.836925764Z","response":",","done":false}
{"model":"llama3","created_at":"2024-07-08T03:49:53.986648055Z","response":" Japanese","done":false}
{"model":"llama3","created_at":"2024-07-08T03:49:54.13517455Z","response":",","done":false}
{"model":"llama3","created_at":"2024-07-08T03:49:54.283114108Z","response":" and","done":false}
{"model":"llama3","created_at":"2024-07-08T03:49:54.443445171Z","response":" indigenous","done":false}
{"model":"llama3","created_at":"2024-07-08T03:49:54.603118958Z","response":" influences","done":false}
{"model":"llama3","created_at":"2024-07-08T03:49:54.76832015Z","response":".","done":false}
{"model":"llama3","created_at":"2024-07-08T03:49:54.931017326Z","response":" Enjoy","done":false}
{"model":"llama3","created_at":"2024-07-08T03:49:55.083288072Z","response":"!","done":false}
{"model":"llama3","created_at":"2024-07-08T03:49:55.533841685Z","response":" 🍴","done":false}
{"model":"llama3","created_at":"2024-07-08T03:49:55.671222985Z","response":"","done":true,"done_reason":"stop","context":[128006,882,128007,271,109311,32218,20834,76208,112595,117342,58666,102456,128009,128006,78191,128007,271,8586,527,220,20,2011,12,1568,94037,26863,1473,16,13,3146,3513,830,452,31707,61434,1754,96618,362,11670,94037,12269,11,25309,46895,273,19724,374,264,82651,323,94631,45993,1903,449,6435,23283,11059,25309,11,61260,11,323,24822,627,17,13,3146,46,22604,507,2727,1169,1754,96618,362,5526,8761,3691,304,29389,11,297,22604,297,2727,10145,527,73624,41951,19335,10409,449,628,1538,297,100163,11,70181,11,323,6307,45697,13,328,2841,449,264,10437,323,94760,19737,627,18,13,3146,626,39134,350,1073,84,1754,96618,49386,369,1202,281,2234,306,22843,11,357,39134,80247,374,264,96080,29839,17937,2027,430,596,5655,2269,4588,311,39143,13,1102,596,3629,10434,449,264,86921,19737,323,649,387,5115,57407,4999,19,13,3146,33,93613,85034,97685,1754,96618,362,69130,323,9257,12269,11,20716,4147,36167,36517,374,6435,23283,11059,304,264,21655,315,29839,19737,11,13465,11,323,49659,3156,279,13339,374,28682,323,17503,10980,6847,627,20,13,3146,38,4381,426,3524,1754,96618,7429,3967,439,94037,63452,11,1709,64,103253,527,4179,3690,293,11099,10409,449,20716,4147,36167,11,3820,839,24822,11,323,42393,13,362,18406,323,37154,40459,477,15496,382,9673,26863,35883,279,20057,323,90030,315,94037,36105,11,902,3629,33511,8620,11,11002,11,323,39678,34453,13,23485,0,11410,235,112,128009],"total_duration":43461066356,"load_duration":3482212558,"prompt_eval_count":17,"prompt_eval_duration":916597000,"eval_count":260,"eval_duration":39060126000}

python + ollama

py 复制代码
from ollama import Client 
client = Client(host=f'http://{IP_ADDRESS}:14444') 
response = client.chat(model='llama3', messages=[ { 'role': 'user', 'content': 'Why is the sky blue?', }, ])
response 
复制代码
{'model': 'llama3',
 'created_at': '2024-07-08T04:05:41.013483539Z',
 'message': {'role': 'assistant',
  'content': "The sky appears blue because of a phenomenon called Rayleigh scattering, which is named after the British physicist Lord Rayleigh. Here's what happens:\n\n1. **Sunlight**: When sunlight enters Earth's atmosphere, it contains all the colors of the visible spectrum (red, orange, yellow, green, blue, indigo, and violet).\n2. **Molecules**: The atmosphere is made up of tiny molecules of gases like nitrogen (N2) and oxygen (O2). These molecules are much smaller than the wavelength of light.\n3. **Scattering**: When sunlight hits these small molecules, it scatters in all directions. This scattering effect is more pronounced for shorter wavelengths, like blue and violet light, which have a higher frequency than longer wavelengths, like red and orange light.\n4. **Blue dominance**: As a result of this scattering, the blue light with its shorter wavelength is dispersed throughout the atmosphere, reaching our eyes from all parts of the sky. This is why the sky appears blue during the daytime, especially when the sun is overhead.\n\nThe same principle applies to other colors, but with different intensities:\n\n* **Red and orange**: These longer wavelengths are less affected by scattering and reach our eyes more directly, which is why we see them as dominant at sunrise and sunset.\n* **Green and yellow**: These wavelengths are scattered similarly to blue light, but their intensity decreases with distance from the sun, making them less visible in the sky.\n\nSo, to summarize: the sky appears blue because of the scattering of sunlight by tiny molecules in the atmosphere, which favors shorter wavelengths like blue and violet."},
 'done_reason': 'stop',
 'done': True,
 'total_duration': 52984861518,
 'load_duration': 3257720984,
 'prompt_eval_count': 15,
 'prompt_eval_duration': 829317000,
 'eval_count': 325,
 'eval_duration': 4888172200

流式输出

py 复制代码
import ollama

stream = client.chat(
    model='llama3',
    messages=[{'role': 'user', 'content': 'Why is the sky blue?'}],
    stream=True,
)

for chunk in stream:
    print(chunk['message']['content'], end='', flush=True)

参考

相关推荐
java_logo20 分钟前
Kubernetes Dashboard Docker 容器化部署指南
运维·mysql·docker·云原生·容器·kubernetes·php
voidmort22 分钟前
web3.py 简介:面向 Python 开发者的以太坊
开发语言·python·web3.py
后台开发者Ethan29 分钟前
LangGraph 的持久化
python·langgraph
编织幻境的妖1 小时前
Docker底层工作原理
运维·docker·容器
Baihai_IDP1 小时前
分享一名海外独立开发者的 AI 编程工作流
人工智能·llm·ai编程
油炸小波1 小时前
02-AI应用开发平台Dify
人工智能·python·dify·coze
gcfer1 小时前
Docker 介绍和常用命令
运维·docker·容器
菠菠萝宝1 小时前
【Java手搓RAGFlow】-1- 环境准备
java·开发语言·人工智能·llm·openai·rag
大模型教程2 小时前
Happy-LLM:从零开始的大语言模型原理与实践教程
程序员·llm·agent
小兵张健2 小时前
LLM 四阶段和 Transformer 架构(二)
llm