Instructions to use zai-org/GLM-5.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use zai-org/GLM-5.1 with Transformers:

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

pipe = pipeline("text-generation", model="zai-org/GLM-5.1")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

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

tokenizer = AutoTokenizer.from_pretrained("zai-org/GLM-5.1")
model = AutoModelForCausalLM.from_pretrained("zai-org/GLM-5.1", 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=256)
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-5.1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "zai-org/GLM-5.1"
# 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-5.1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/zai-org/GLM-5.1

SGLang

How to use zai-org/GLM-5.1 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-5.1" \
    --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-5.1",
		"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-5.1" \
        --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-5.1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use zai-org/GLM-5.1 with Docker Model Runner:
```
docker model run hf.co/zai-org/GLM-5.1
```

GLM-5.1

Commit History

Jul 4

01:50
Draft: Add SkillsBench v1.1 evaluation result⁠

bingran-you

Verified signature
065d888

May 13

08:10
Add Claw-Eval evaluation results (#33)⁠

ZHANGYUXUAN-zR +1: SaylorTwift

26e1bd6

Apr 16

06:11
update chat_template

zRzRzRzRzRzRzR

442b527

Apr 12

03:30
update CyberGym score for Gemini 3.1 Pro and GPT-5.4

zRzRzRzRzRzRzR

bef0214

Apr 11

11:14
Merge branch 'main' of hf.co:zai-org/GLM-5.1

zRzRzRzRzRzRzR

0e12244
11:12
update

zRzRzRzRzRzRzR

7015f16

Apr 8

12:54
Update .eval_results/swe_bench_pro.yaml (#10)⁠

ZHANGYUXUAN-zR +1: SaylorTwift

dd43008
03:57
update bench

zRzRzRzRzRzRzR

146e9f2

Apr 7

17:27
add SWE-bench_Pro

zRzRzRzRzRzRzR

278f446
16:08
GLM-5.1

zRzRzRzRzRzRzR

bf3dec1
12:34
Update README.md

ZHANGYUXUAN-zR

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Apr 4

17:22
Add files using upload-large-folder tool

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17:21
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17:18
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17:01
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Apr 3

09:28
initial commit

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Commit History

Jul 4

Draft: Add SkillsBench v1.1 evaluation result⁠

May 13

Add Claw-Eval evaluation results (#33)⁠

Apr 16

update chat_template

Apr 12

update CyberGym score for Gemini 3.1 Pro and GPT-5.4

Apr 11

Merge branch 'main' of hf.co:zai-org/GLM-5.1

update

Apr 8

Update .eval_results/swe_bench_pro.yaml (#10)⁠

update bench

Apr 7

add SWE-bench_Pro

GLM-5.1

Update README.md

Apr 4

Add files using upload-large-folder tool

Add files using upload-large-folder tool

Add files using upload-large-folder tool

Add files using upload-large-folder tool

Add files using upload-large-folder tool

Add files using upload-large-folder tool

Apr 3

initial commit