Instructions to use unsloth/GLM-5.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use unsloth/GLM-5.3 with Transformers:

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

pipe = pipeline("text-generation", model="unsloth/GLM-5.3")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("unsloth/GLM-5.3")
model = AutoModelForCausalLM.from_pretrained("unsloth/GLM-5.3", 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=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use unsloth/GLM-5.3 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "unsloth/GLM-5.3"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "unsloth/GLM-5.3",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/unsloth/GLM-5.3

SGLang

How to use unsloth/GLM-5.3 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 "unsloth/GLM-5.3" \
    --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": "unsloth/GLM-5.3",
		"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 "unsloth/GLM-5.3" \
        --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": "unsloth/GLM-5.3",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use unsloth/GLM-5.3 with Docker Model Runner:
```
docker model run hf.co/unsloth/GLM-5.3
```

danielhanchen commited on 8 days ago

Commit

05cd131

verified ·

1 Parent(s): 40ec95c

chat_template: fix tool-call parsing under llama.cpp jinja

Browse files

- a.0.b -> a[0].b (4 places): llama.cpp jinja rejects numeric member access with "Static member property must be an identifier"
- guard tc.arguments.items() with "is mapping": llama.cpp probes this branch with arguments as a JSON string, .items() threw, parser generation aborted and it fell back to a content-only grammar, so tool calls were emitted as raw XML in the content field

Rendered prompts are unchanged: 135/135 differential renders byte-identical.

Files changed (1) hide show

chat_template.jinja +5 -5

chat_template.jinja CHANGED Viewed

@@ -72,11 +72,11 @@ For each function call, output the function name and arguments within the follow
 {%- macro render_tool_response(m) -%}
 {%- if m.content is string -%}
     {{- tool_response(m.content) -}}
-{%- elif m.content and m.content is not mapping and m.content.0.type == "tool_reference" -%}
     {{- tool_references_to_response(m.content) -}}
 {%- elif is_list_of_outputs(m) -%}
     {%- for tr in m.content -%}
-        {%- if tr.output is iterable and tr.output is not string and tr.output is not mapping and tr.output and tr.output.0.type == "tool_reference" -%}
             {{- tool_references_to_response(tr.output) -}}
         {%- else -%}
             {{- tool_response(visible_text(tr.output)) -}}
@@ -94,7 +94,7 @@ For each function call, output the function name and arguments within the follow
     {%- endif -%}
 {%- endmacro -%}
 {%- macro is_list_of_outputs(m) -%}
-    {%- if m.content and m.content.0.output is defined -%}1{%- endif -%}
 {%- endmacro -%}
 {%- macro has_dup_tool_result_id(lo, hi, target) -%}
     {%- set ns_cnt = namespace(n=0) -%}
@@ -154,7 +154,7 @@ 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") %}
@@ -221,7 +221,7 @@ For each function call, output the function name and arguments within the follow
                     {%- for entry in m.content -%}
                         {%- set eid = id_of(entry) -%}
                         {%- if eid == tc_id -%}
-                            {%- if entry.output is iterable and entry.output is not string and entry.output is not mapping and entry.output and entry.output.0.type == "tool_reference" -%}
                                 {{- tool_references_to_response(entry.output) -}}
                             {%- else -%}
                                 {{- tool_response(visible_text(entry.output)) -}}

 {%- macro render_tool_response(m) -%}
 {%- if m.content is string -%}
     {{- tool_response(m.content) -}}
+{%- elif m.content and m.content is not mapping and m.content[0].type == "tool_reference" -%}
     {{- tool_references_to_response(m.content) -}}
 {%- elif is_list_of_outputs(m) -%}
     {%- for tr in m.content -%}
+        {%- if tr.output is iterable and tr.output is not string and tr.output is not mapping and tr.output and tr.output[0].type == "tool_reference" -%}
             {{- tool_references_to_response(tr.output) -}}
         {%- else -%}
             {{- tool_response(visible_text(tr.output)) -}}
     {%- endif -%}
 {%- endmacro -%}
 {%- macro is_list_of_outputs(m) -%}
+    {%- if m.content and m.content[0].output is defined -%}1{%- endif -%}
 {%- endmacro -%}
 {%- macro has_dup_tool_result_id(lo, hi, target) -%}
     {%- set ns_cnt = namespace(n=0) -%}
     {%- set tc = tc.function %}
 {%- endif %}
 {{- '<tool_call>' + tc.name -}}
+{% set _args = tc.arguments %}{% if _args is mapping %}{% 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 %}{% endif %}</tool_call>{% endfor %}
 {% endif %}
 {%- elif m.role == 'tool' -%}
 {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
                     {%- for entry in m.content -%}
                         {%- set eid = id_of(entry) -%}
                         {%- if eid == tc_id -%}
+                            {%- if entry.output is iterable and entry.output is not string and entry.output is not mapping and entry.output and entry.output[0].type == "tool_reference" -%}
                                 {{- tool_references_to_response(entry.output) -}}
                             {%- else -%}
                                 {{- tool_response(visible_text(entry.output)) -}}