【linux 使用ollama部署运行本地大模型完整的教程，openai接口， llama2例子】

# 安装相应的包

# linux 安装
 
curl -fsSL https://ollama.com/install.sh | sh
 
pip install ollama

# 开启ollama服务端！

$ ollama serve

# 启动llama2大模型（新开一个终端）

# autodl开启加速（其他平台省略）
$ source /etc/network_turbo
 
$ ollama run llama2-uncensored:7b-chat-q6_K

# 如果不想启动运行，只下载可以

# 拉取模型
 
$ ollama pull llama2-uncensored:7b-chat-q6_K

在启动完后，就可以对话了

# python接口对话

import ollama
 
response = ollama.chat(model=''llama2'', messages=[
  {
    ''role'': ''user'',
    ''content'': ''Why is the sky blue?'',
  },
])
print(response[''message''][''content''])

# OpenAI适配接口对话

from openai import OpenAI
 
client = OpenAI(
    base_url = ''http://localhost:11434/v1'',
    api_key=''ollama'', # required, but unused
)
 
response = client.chat.completions.create(
  model="llama2",
  messages=[
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": "Who won the world series in 2020?"},
    {"role": "assistant", "content": "The LA Dodgers won in 2020."},
    {"role": "user", "content": "Where was it played?"}
  ]
)
print(response.choices[0].message.content)

# CUR流式接口

curl -X POST http://localhost:11434/api/generate -d ''{
  "model": "llama2",
  "prompt":"Why is the sky blue?"
 }''

# 参考

llama2 (ollama.com)https://ollama.com/library/llama2

OpenAI compatibility · Ollama Bloghttps://ollama.com/blog/openai-compatibility