Instructions to use zai-org/GLM-4.7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use zai-org/GLM-4.7 with Transformers:

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

pipe = pipeline("text-generation", model="zai-org/GLM-4.7")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("zai-org/GLM-4.7")
model = AutoModelForCausalLM.from_pretrained("zai-org/GLM-4.7")
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-4.7 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "zai-org/GLM-4.7"
# 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-4.7",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/zai-org/GLM-4.7

SGLang

How to use zai-org/GLM-4.7 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-4.7" \
    --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-4.7",
		"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-4.7" \
        --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-4.7",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use zai-org/GLM-4.7 with Docker Model Runner:
```
docker model run hf.co/zai-org/GLM-4.7
```

fix: `clear_thinking` inserts spurious `</think>` tag when reasoning_content is empty

#46

by beckyu - opened Mar 10

base: refs/heads/main

←

from: refs/pr/46

Discussion Files changed

-5

Files changed (1) hide show

chat_template.jinja +9 -5

chat_template.jinja CHANGED Viewed

@@ -49,11 +49,14 @@ For each function call, output the function name and arguments within the follow
         {%- set content = content.split('</think>')[-1].lstrip('\n') %}
     {%- endif %}
 {%- endif %}
-{%- if ((clear_thinking is defined and not clear_thinking) or loop.index0 > ns.last_user_index) and reasoning_content -%}
-{{ '<think>' + reasoning_content.strip() +  '</think>'}}
-{%- else -%}
-{{ '</think>' }}
 {%- endif -%}
 {%- if content.strip() -%}
 {{ content.strip() }}
 {%- endif -%}
@@ -83,4 +86,5 @@ For each function call, output the function name and arguments within the follow
 {%- endfor -%}
 {%- if add_generation_prompt -%}
     <|assistant|>{{- '</think>' if (enable_thinking is defined and not enable_thinking) else '<think>' -}}
-{%- endif -%}

         {%- set content = content.split('</think>')[-1].lstrip('\n') %}
     {%- endif %}
 {%- endif %}
+{#- FIXED: clear_thinking=true means clear thinking content, no thinking tags at all -#}
+{%- if clear_thinking is not defined or not clear_thinking -%}
+    {#- clear_thinking=false or undefined: keep thinking content -#}
+    {%- if reasoning_content -%}
+{{ '<think>' + reasoning_content.strip() + '</think>' }}
+    {%- endif -%}
 {%- endif -%}
+{#- clear_thinking=true: only output content, no thinking tags -#}
 {%- if content.strip() -%}
 {{ content.strip() }}
 {%- endif -%}
 {%- endfor -%}
 {%- if add_generation_prompt -%}
     <|assistant|>{{- '</think>' if (enable_thinking is defined and not enable_thinking) else '<think>' -}}
+{%- endif -%}