DeepSeek-V4 完整使用指南：免费用上国产最强 AI

from openai import OpenAI

client = OpenAI(
    api_key="your_deepseek_api_key",
    base_url="https://api.deepseek.com"
)

# 普通对话
response = client.chat.completions.create(
    model="deepseek-chat",   # DeepSeek-V4
    messages=[
        {"role": "system", "content": "你是一个专业的Python工程师"},
        {"role": "user", "content": "用Python写一个快速排序算法，加详细注释"}
    ],
    stream=True  # 流式输出
)

for chunk in response:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end='', flush=True)

response = client.chat.completions.create(
    model="deepseek-reasoner",  # R1 模型
    messages=[
        {"role": "user", "content": "证明：√2 是无理数"}
    ]
)

# R1 的思考过程
reasoning = response.choices[0].message.reasoning_content
# 最终答案
answer = response.choices[0].message.content

print("思考过程：", reasoning[:500], "...")
print("\n最终答案：", answer)

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: process.env.DEEPSEEK_API_KEY,
  baseURL: 'https://api.deepseek.com',
});

async function askDeepSeek(question: string): Promise<string> {
  const response = await client.chat.completions.create({
    model: 'deepseek-chat',
    messages: [{ role: 'user', content: question }],
    max_tokens: 2048,
    temperature: 0.7,
  });
  
  return response.choices[0].message.content ?? '';
}

// 使用示例
const answer = await askDeepSeek('解释一下量子纠缠');
console.log(answer);

# 安装 Ollama
curl -fsSL https://ollama.ai/install.sh | sh

# 下载 DeepSeek 模型
# 小模型（7B，适合 8GB+ 显存或 16GB+ 内存）
ollama pull deepseek-r1:7b

# 中等模型（14B，需要 16GB+ 显存）
ollama pull deepseek-r1:14b

# 运行
ollama run deepseek-r1:7b

client = OpenAI(
    api_key="ollama",  # 任意字符串
    base_url="http://localhost:11434/v1"
)

response = client.chat.completions.create(
    model="deepseek-r1:7b",
    messages=[{"role": "user", "content": "你好！"}]
)

算法花开万里春，
代码织就彩霞新。
人机共舞今时代，
智慧芬芳满乾坤。

春风拂面算法生，
代码花开映日明。
人机共创新纪元，
智慧无边绽繁荣。