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)

# 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")
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

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
```

fix: guard against tools=None crash and string arguments in chat_template.jinja

#22

by MoonRainy21 - opened Apr 14

base: refs/heads/main

←

from: refs/pr/22

Discussion Files changed

+11

-9

Files changed (1) hide show

chat_template.jinja +11 -9

chat_template.jinja CHANGED Viewed

@@ -86,7 +86,7 @@ For each function call, output the function name and arguments within the follow
     {%- set tc = tc.function %}
 {%- endif %}
 {{- '<tool_call>' + tc.name -}}
-{% set _args = tc.arguments %}{% for k, v in _args.items() %}<arg_key>{{ k }}</arg_key><arg_value>{{ v | tojson(ensure_ascii=False) if v is not string else v }}</arg_value>{% endfor %}</tool_call>{% endfor %}
 {% endif %}
 {%- elif m.role == 'tool' -%}
 {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
@@ -97,14 +97,16 @@ For each function call, output the function name and arguments within the follow
 {%- else -%}
     {{- '<tool_response><tools>\n' -}}
     {% for tr in m.content %}
-        {%- for tool in tools -%}
-            {%- if 'function' in tool -%}
-                {%- set tool = tool['function'] -%}
-            {%- endif -%}
-            {%- if tool.name == tr.name -%}
-                {{- tool_to_json(tool) + '\n' -}}
-            {%- endif -%}
-        {%- endfor -%}
     {%- endfor -%}
     {{- '</tools></tool_response>' -}}
 {% endif -%}

     {%- set tc = tc.function %}
 {%- endif %}
 {{- '<tool_call>' + tc.name -}}
+{% set _args = tc.arguments if tc.arguments is mapping else tc.arguments | from_json %}{% for k, v in _args.items() %}<arg_key>{{ k }}</arg_key><arg_value>{{ v | tojson(ensure_ascii=False) if v is not string else v }}</arg_value>{% endfor %}</tool_call>{% endfor %}
 {% endif %}
 {%- elif m.role == 'tool' -%}
 {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
 {%- else -%}
     {{- '<tool_response><tools>\n' -}}
     {% for tr in m.content %}
+        {%- if tools -%}
+            {%- for tool in tools -%}
+                {%- if 'function' in tool -%}
+                    {%- set tool = tool['function'] -%}
+                {%- endif -%}
+                {%- if tool.name == tr.name -%}
+                    {{- tool_to_json(tool) + '\n' -}}
+                {%- endif -%}
+            {%- endfor -%}
+        {%- endif -%}
     {%- endfor -%}
     {{- '</tools></tool_response>' -}}
 {% endif -%}