# 安装相应的包

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

# win 安装客户端
https://ollama.com/download/OllamaSetup.exe

# mac 安装客户端
https://ollama.com/download/Ollama-darwin.zip


# 安装ollama python包
$ pip install ollama
## 如果有网络问题

如果遇到网络问题的解决办法,可以修改下载源

打开 ollama_install.sh,找到以下两个下载地址:

https://ollama.com/download/ollama-linux-${ARCH}${VER_PARAM}
https://ollama.com/download/ollama-linux-amd64-rocm.tgz${VER_PARAM}

我们要将这两个地址替换成 GitHub 的下载链接。但直接使用 GitHub 可能依旧缓慢,因此我们推荐使用 GitHub 文件加速服务。

使用以下脚本来修改下载源:

#!/bin/bash

# 文件路径
FILE="ollama_install.sh"

# 修改 URL
sed -i 's|https://ollama.com/download/ollama-linux-${ARCH}${VER_PARAM}|https://github.moeyy.xyz/https://github.com/ollama/ollama/releases/download/v0.3.4/ollama-linux-amd64|g' $FILE

sed -i 's|https://ollama.com/download/ollama-linux-amd64-rocm.tgz${VER_PARAM}|https://github.moeyy.xyz/https://github.com/ollama/ollama/releases/download/v0.3.4/ollama-linux-amd64-rocm.tgz|g' $FILE

最终修改为:

https://github.moeyy.xyz/https://github.com/ollama/ollama/releases/download/v0.3.4/ollama-linux-amd64
https://github.moeyy.xyz/https://github.com/ollama/ollama/releases/download/v0.3.4/ollama-linux-amd64-rocm.tgz

# 开启ollama服务端!

$ ollama serve

# 启动llama3.2大模型(新开一个终端)模型库1ollama labraryicon-default.png?t=O83Ahttps://ollama.com/library
模型库2 modelscope modelsicon-default.png?t=O83Ahttps://www.modelscope.cn/models

# autodl开启加速(其他平台省略)
$ source /etc/network_turbo

$ ollama run llama3.2

只下载模型

# 拉取模型

$ ollama pull llama3.2

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)icon-default.png?t=O83Ahttps://ollama.com/library/llama2

OpenAI compatibility · Ollama Blogicon-default.png?t=O83Ahttps://ollama.com/blog/openai-compatibility

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