phi:2.7b-chat-v2-q4_K_S

% ollama run phi
>>> Hello, can you help me find my way to Toronto?
 Certainly! What is the exact location in Toronto that you are looking for?

>>> Yonge & Bloor
 Sure, Yonge and Bloor is a busy intersection in downtown Toronto. Would you like to take public transportation or drive there?

>>> Public transportation
 Great! The easiest way to get there is by taking the TTC subway. You can take Line 1, which runs along Yonge Street and passes through downtown Toronto.

使用 Ollama 的 API

curl http://127.0.0.1:11434/api/chat -d '{
  "model": "phi",
  "messages": [
    { "role": "user", "content": "why is the sky blue?" }
  ]
}'

示例提示（原始模式）

当在 Ollama 的 API 中使用原始模式时，Phi 也能很好地响应各种提示格式，原始模式会绕过所有默认提示模板

Instruct

curl http://127.0.0.1:11434/api/generate -d '{
  "model": "phi",
  "prompt": "Instruct: Write a detailed analogy between mathematics and a lighthouse.\nOutput:",
  "options": {
    "stop": ["Instruct:", "Output:"]
  },
  "raw": true,
  "stream": false
}'

代码补全

curl http://127.0.0.1:11434/api/generate -d '{
  "model": "phi",
  "prompt": "def print_prime(n):\n  ",
  "raw": true,
  "stream": false
}'

文本补全

curl http://127.0.0.1:11434/api/generate -d '{
  "model": "phi",
  "prompt": "There once was a mouse named",
  "raw": true,
  "stream": false
}'

参考

HuggingFace

博客文章

Phi-2 is a small language model capable of common-sense reasoning and language understanding. It showcases "state-of-the-art performance" among language models with less than 13 billion parameters.

### Example prompt

By default, `phi` includes a chat prompt template designed for multi-turn conversations:

```
% ollama run phi
>>> Hello, can you help me find my way to Toronto?
 Certainly! What is the exact location in Toronto that you are looking for?

>>> Yonge & Bloor
 Sure, Yonge and Bloor is a busy intersection in downtown Toronto. Would you like to take public transportation or drive there?

>>> Public transportation
 Great! The easiest way to get there is by taking the TTC subway. You can take Line 1, which runs along Yonge Street and passes through downtown Toronto.
```

Using Ollama's API:

```
curl http://127.0.0.1:11434/api/chat -d '{
  "model": "phi",
  "messages": [
    { "role": "user", "content": "why is the sky blue?" }
  ]
}'
```

### Example prompts (raw mode)

Phi also responds well to a wide variety of prompt formats when using [raw mode](https://github.com/jmorganca/ollama/blob/main/docs/api.md#request-raw-mode) in Ollama's API, which bypasses all default prompt templating:

#### Instruct

```
curl http://127.0.0.1:11434/api/generate -d '{
  "model": "phi",
  "prompt": "Instruct: Write a detailed analogy between mathematics and a lighthouse.\nOutput:",
  "options": {
    "stop": ["Instruct:", "Output:"]
  },
  "raw": true,
  "stream": false
}'
```

#### Code Completion

```
curl http://127.0.0.1:11434/api/generate -d '{
  "model": "phi",
  "prompt": "def print_prime(n):\n  ",
  "raw": true,
  "stream": false
}'
```

#### Text completion

```
curl http://127.0.0.1:11434/api/generate -d '{
  "model": "phi",
  "prompt": "There once was a mouse named",
  "raw": true,
  "stream": false
}'
```

## References

[HuggingFace](http://hugging-face.cn/microsoft/phi-2)

[Blog Post](https://www.microsoft.com/en-us/research/blog/phi-2-the-surprising-power-of-small-language-models/)

粘贴、拖放或点击上传图片（.png、.jpeg、.jpg、.svg、.gif）