Instructions to use zai-org/GLM-5.2-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use zai-org/GLM-5.2-FP8 with Transformers:

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

pipe = pipeline("text-generation", model="zai-org/GLM-5.2-FP8")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM

tokenizer = AutoTokenizer.from_pretrained("zai-org/GLM-5.2-FP8")
model = AutoModelForMultimodalLM.from_pretrained("zai-org/GLM-5.2-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]:]))

Inference
HuggingChat
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use zai-org/GLM-5.2-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-5.2-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-5.2-FP8",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/zai-org/GLM-5.2-FP8

SGLang

How to use zai-org/GLM-5.2-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-5.2-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-5.2-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-5.2-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-5.2-FP8",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use zai-org/GLM-5.2-FP8 with Docker Model Runner:
```
docker model run hf.co/zai-org/GLM-5.2-FP8
```

GLM-5.2-FP8 / README.md

Commit History

Merge branch 'main' of hf.co:zai-org/GLM-5.2-FP8

31cba24

zRzRzRzRzRzRzR commited on about 14 hours ago

add unsloth

73d6d18

zRzRzRzRzRzRzR commited on about 14 hours ago

Update README.md

a0b55e8
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davidlvxin commited on 3 days ago

update with Ascend support

3722e20

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update with Ascend support

0e60b39

zRzRzRzRzRzRzR commited on 3 days ago

update readme

7d81a3f

zRzRzRzRzRzRzR commited on 3 days ago

update readme

f51f869

zRzRzRzRzRzRzR commited on 3 days ago

init readme

e7c4515

zRzRzRzRzRzRzR commited on 4 days ago

Commit History

Merge branch 'main' of hf.co:zai-org/GLM-5.2-FP8 31cba24

add unsloth 73d6d18

Update README.md a0b55e8 verified

update with Ascend support 3722e20

update with Ascend support 0e60b39

update readme 7d81a3f

update readme f51f869

init readme e7c4515

Merge branch 'main' of hf.co:zai-org/GLM-5.2-FP8

31cba24

add unsloth

73d6d18

Update README.md

a0b55e8
verified

update with Ascend support

3722e20

update with Ascend support

0e60b39

update readme

7d81a3f

update readme

f51f869

init readme

e7c4515