Instructions to use zai-org/GLM-4-32B-0414 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use zai-org/GLM-4-32B-0414 with Transformers:

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

pipe = pipeline("text-generation", model="zai-org/GLM-4-32B-0414")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("zai-org/GLM-4-32B-0414")
model = AutoModelForCausalLM.from_pretrained("zai-org/GLM-4-32B-0414", device_map="auto")
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-4-32B-0414 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "zai-org/GLM-4-32B-0414"
# 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-4-32B-0414",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/zai-org/GLM-4-32B-0414

SGLang

How to use zai-org/GLM-4-32B-0414 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-4-32B-0414" \
    --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-4-32B-0414",
		"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-4-32B-0414" \
        --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-4-32B-0414",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use zai-org/GLM-4-32B-0414 with Docker Model Runner:
```
docker model run hf.co/zai-org/GLM-4-32B-0414
```

Great job, thanks for this model.

#11

by Dampfinchen - opened Apr 23, 2025

Discussion

Dampfinchen

Apr 23, 2025

•

edited Apr 23, 2025

Your latest models are great, I've heard already great things about its coding abilities, but what I didn't expect was how good it is at creative writing. However, sometimes it leaks chinese characters. So better multilingual support would be appreciated in the next version, and perhaps native multimodality as well. Otherwise I don't have much complains.

Keep up the great work!

seall0

Apr 28, 2025

•

edited Apr 28, 2025

I second this! I use it to make detailed minutes based on transcripts of really long meetings in portuguese and this absolutely blows mixtral and everything else out of the water. It leaves absolutely no detail behind. It gets a bit too "creative" sometimes but I reduced the temperature and it's better now. Awesome model!

JLouisBiz

Apr 28, 2025

If it gives some Chinese, it's not damage. We can even mix some Chinese with English. Why not? And I like mixing German with English and Italian phrases with English phrases. This should be international world. In general, I feel obligated to China and I'm going to learn Chinese from now on. 非常感谢清华大学

blobbybob

Apr 30, 2025

Please keep cooking, this model is better then any other ive tried for its size and even some far above it, Please show them how its done!

Dampfinchen

Apr 30, 2025

•

edited Apr 30, 2025

Yeah in my experience it is better than Qwen 3. I think THUDM has great potential. I've also heard many on r/locallama prefering this model to Qwen 3.

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment