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

Libraries

How to use zai-org/GLM-4-32B-Base-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-Base-0414")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

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

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use zai-org/GLM-4-32B-Base-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-Base-0414"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "zai-org/GLM-4-32B-Base-0414",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

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

SGLang

How to use zai-org/GLM-4-32B-Base-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-Base-0414" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "zai-org/GLM-4-32B-Base-0414",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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-Base-0414" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "zai-org/GLM-4-32B-Base-0414",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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

zRzRzRzRzRzRzR commited on Apr 14, 2025

Commit

ca8ed56

1 Parent(s): 0188da0

1

Browse files

Files changed (2) hide show

LICENSE +1 -1
README.md +4 -0

LICENSE CHANGED Viewed

@@ -1,6 +1,6 @@
 MIT License
-Copyright (c) 2025 zAI
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal

 MIT License
+Copyright (c) 2025 Zhipu AI
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal

README.md CHANGED Viewed

@@ -13,4 +13,8 @@ library_name: transformers
 Based on our latest technological advancements, we have trained a `GLM-4-0414` series model. During pretraining, we incorporated more code-related and reasoning-related data. In the alignment phase, we optimized the model specifically for agent capabilities. As a result, the model's performance in agent tasks such as tool use, web search, and coding has been significantly improved.
 This model is a base model. If you need a chat model, please use the [GLM-4-32B-Chat-0414](https://huggingface.co/THUDM/GLM-4-32B-Chat-0414) chat model.

 Based on our latest technological advancements, we have trained a `GLM-4-0414` series model. During pretraining, we incorporated more code-related and reasoning-related data. In the alignment phase, we optimized the model specifically for agent capabilities. As a result, the model's performance in agent tasks such as tool use, web search, and coding has been significantly improved.
+## Inference Code
+Make Sure Using `transforemrs>=4.51.3`.
 This model is a base model. If you need a chat model, please use the [GLM-4-32B-Chat-0414](https://huggingface.co/THUDM/GLM-4-32B-Chat-0414) chat model.