> ## Documentation Index
> Fetch the complete documentation index at: https://docs.gmicloud.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# GLM 4.5 Air (FP8)

> **GLM-4.5-Air-FP8** is a **lightweight**, **high-efficiency**, and **FP8-quantized** variant of the GLM-4.5-Air model, designed to achieve **ultra-fast inference** with **minimal memory footprint**.

**Model ID**

```bash theme={null}
zai-org/GLM-4.5-Air-FP8
```

## API Usage

The **zai-org/GLM-4.5-Air-FP8** model can be accessed via the same REST API used by other GLM models.\
It supports both **general chat** and **function-calling** workflows.

## API Examples

### Generate a Chat Completion

Use the **chat/completions** endpoint for conversational generation.

#### Shell

```bash theme={null}
curl --request POST \
  --url https://api.gmi-serving.com/v1/chat/completions \
  -H 'Content-Type: application/json' \
  -H 'Authorization: Bearer *************' \
  --data '{
    "model": "zai-org/GLM-4.5-Air-FP8",
    "messages": [
      {"role": "system", "content": "You are a concise and efficient AI assistant."},
      {"role": "user", "content": "Summarize the key benefits of FP8 quantization in AI models."}
    ],
    "temperature": 0.6,
    "max_tokens": 600
  }'
```

##### Function Calling

```bash theme={null}
curl --request POST \
  --url https://api.gmi-serving.com/v1/chat/completions \
  -H 'Content-Type: application/json' \
  -H 'Authorization: Bearer *************' \
  --data '{
    "model": "zai-org/GLM-4.5-Air-FP8",
    "temperature": 0,
    "max_tokens": 120,
    "tools": [
      {
        "type": "function",
        "function": {
          "name": "get_weather_forecast",
          "description": "Retrieve weather forecast information for a given city.",
          "parameters": {
            "type": "object",
            "properties": {
              "city": {
                "type": "string",
                "description": "Name of the target city, e.g., San Francisco."
              }
            },
            "required": ["city"]
          }
        }
      }
    ],
    "messages": [
      {
        "role": "user",
        "content": "What’s the current weather in San Francisco?"
      }
    ]
  }'
```

#### Python SDK Usage

```python theme={null}
import requests
import json

url = "https://api.gmi-serving.com/v1/chat/completions"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer *************"
}

payload = {
    "model": "zai-org/GLM-4.5-Air-FP8",
    "messages": [
        {"role": "system", "content": "You are a concise and efficient AI assistant."},
        {"role": "user", "content": "Summarize the key benefits of FP8 quantization in AI models."}
    ],
    "temperature": 0.6,
    "max_tokens": 600
}

response = requests.post(url, headers=headers, json=payload)

print(json.dumps(response.json(), indent=2))
```