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 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
```

testing

#19

by ShivamOjha - opened Apr 13

base: refs/heads/main

←

from: refs/pr/19

Discussion Files changed

-23

Files changed (2) hide show

.eval_results/claw-eval.yaml +0 -20
chat_template.jinja +1 -3

.eval_results/claw-eval.yaml DELETED Viewed

@@ -1,20 +0,0 @@
-- dataset:
-    id: claw-eval/Claw-Eval
-    task_id: general
-  value: 62.7
-  date: '2026-04-23'
-  notes: "Pass³% | N=3 | 161 tasks"
-  source:
-    url: https://claw-eval.github.io
-    name: Claw-Eval Leaderboard
-    user: tobiaslee
-- dataset:
-    id: claw-eval/Claw-Eval
-    task_id: multi_turn
-  value: 60.5
-  date: '2026-04-23'
-  notes: "Pass³% | N=3 | 38 tasks"
-  source:
-    url: https://claw-eval.github.io
-    name: Claw-Eval Leaderboard
-    user: tobiaslee

chat_template.jinja CHANGED Viewed

@@ -94,7 +94,7 @@ For each function call, output the function name and arguments within the follow
 {%- endif %}
 {%- if m.content is string -%}
     {{- '<tool_response>' + m.content + '</tool_response>' -}}
-{%- elif m.content is iterable and m.content is not mapping and m.content and m.content.0.type == "tool_reference" -%}
     {{- '<tool_response><tools>\n' -}}
     {% for tr in m.content %}
         {%- for tool in tools -%}
@@ -107,8 +107,6 @@ For each function call, output the function name and arguments within the follow
         {%- endfor -%}
     {%- endfor -%}
     {{- '</tools></tool_response>' -}}
-{%- else -%}
-    {{- '<tool_response>' + visible_text(m.content) + '</tool_response>' -}}
 {% endif -%}
 {%- elif m.role == 'system' -%}
 <|system|>{{ visible_text(m.content) }}

 {%- endif %}
 {%- if m.content is string -%}
     {{- '<tool_response>' + m.content + '</tool_response>' -}}
+{%- else -%}
     {{- '<tool_response><tools>\n' -}}
     {% for tr in m.content %}
         {%- for tool in tools -%}
         {%- endfor -%}
     {%- endfor -%}
     {{- '</tools></tool_response>' -}}
 {% endif -%}
 {%- elif m.role == 'system' -%}
 <|system|>{{ visible_text(m.content) }}