Instructions to use zai-org/GLM-4.5-Air-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use zai-org/GLM-4.5-Air-FP8 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="zai-org/GLM-4.5-Air-FP8")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("zai-org/GLM-4.5-Air-FP8")
model = AutoModelForCausalLM.from_pretrained("zai-org/GLM-4.5-Air-FP8")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use zai-org/GLM-4.5-Air-FP8 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "zai-org/GLM-4.5-Air-FP8"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "zai-org/GLM-4.5-Air-FP8",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/zai-org/GLM-4.5-Air-FP8

SGLang

How to use zai-org/GLM-4.5-Air-FP8 with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "zai-org/GLM-4.5-Air-FP8" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "zai-org/GLM-4.5-Air-FP8",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "zai-org/GLM-4.5-Air-FP8" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "zai-org/GLM-4.5-Air-FP8",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use zai-org/GLM-4.5-Air-FP8 with Docker Model Runner:
```
docker model run hf.co/zai-org/GLM-4.5-Air-FP8
```

glm looping on \n

by chgrdj - opened Sep 26, 2025

Discussion

chgrdj

Sep 26, 2025

Hey guys ,

Been spinning up GLM-4.5-air lately and i make him generate some structured output. Sometimes (not constantly) it just gets stuck after one of the field names generating '\n' in loop

For inference parameters i use :

{"extra_body": {'repetition_penalty': 1.05,'length_penalty': 1.05}}

{"temperature": 0.6, "top_p": 0.95,"max_tokens": 16384}
I use vllm

Anyone encountered such issue or has an idea?

Thx!

ZHANGYUXUAN-zR

Z.ai org Sep 27, 2025

It seems you're using an incorrect vLLM version. Try using the latest version. Are you using the version with FP8? And what's your TP?

chgrdj

Sep 27, 2025

Hey thanks for the answer!
I'm using vllm==0.10.1.1 , will try 10.2
I use fp8 version, yeah I expect quantization do not help in those issues.
About Tensor parallelism i use simply one H200 with 64k of context .
Don't get me wrong in most of cases the model is doing a great job, just its shame sometimes he gets stuck in a loop like that .

ZHANGYUXUAN-zR

Z.ai org Sep 28, 2025

If you're using the FP8 version, you should definitely update and try it out, as this version had some bugs that have been fixed in version 0.10.2.

chgrdj

Sep 28, 2025

Oh nice i did not get the chance to try yet but will keep you updated !

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