Instructions to use trl-internal-testing/tiny-Qwen2ForCausalLM-2.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use trl-internal-testing/tiny-Qwen2ForCausalLM-2.5 with Transformers:

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

pipe = pipeline("text-generation", model="trl-internal-testing/tiny-Qwen2ForCausalLM-2.5")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("trl-internal-testing/tiny-Qwen2ForCausalLM-2.5")
model = AutoModelForCausalLM.from_pretrained("trl-internal-testing/tiny-Qwen2ForCausalLM-2.5")
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 trl-internal-testing/tiny-Qwen2ForCausalLM-2.5 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "trl-internal-testing/tiny-Qwen2ForCausalLM-2.5"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "trl-internal-testing/tiny-Qwen2ForCausalLM-2.5",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/trl-internal-testing/tiny-Qwen2ForCausalLM-2.5

SGLang

How to use trl-internal-testing/tiny-Qwen2ForCausalLM-2.5 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 "trl-internal-testing/tiny-Qwen2ForCausalLM-2.5" \
    --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": "trl-internal-testing/tiny-Qwen2ForCausalLM-2.5",
		"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 "trl-internal-testing/tiny-Qwen2ForCausalLM-2.5" \
        --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": "trl-internal-testing/tiny-Qwen2ForCausalLM-2.5",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use trl-internal-testing/tiny-Qwen2ForCausalLM-2.5 with Docker Model Runner:
```
docker model run hf.co/trl-internal-testing/tiny-Qwen2ForCausalLM-2.5
```

qgallouedec HF Staff commited on Jun 14, 2025

Commit

7412562

verified ·

1 Parent(s): 54f7fa5

Upload tokenizer

Browse files

Files changed (1) hide show

chat_template.jinja +1 -3

chat_template.jinja CHANGED Viewed

@@ -23,7 +23,6 @@
         {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
     {%- elif message.role == "assistant" %}
         {{- '<|im_start|>' + message.role }}
-        {% generation %}
         {%- if message.content %}
             {{- '\n' + message.content }}
         {%- endif %}
@@ -38,7 +37,6 @@
             {{- '}\n</tool_call>' }}
         {%- endfor %}
         {{- '<|im_end|>\n' }}
-        {% endgeneration %}
     {%- elif message.role == "tool" %}
         {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
             {{- '<|im_start|>user' }}
@@ -53,4 +51,4 @@
 {%- endfor %}
 {%- if add_generation_prompt %}
     {{- '<|im_start|>assistant\n' }}
-{%- endif %}

         {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
     {%- elif message.role == "assistant" %}
         {{- '<|im_start|>' + message.role }}
         {%- if message.content %}
             {{- '\n' + message.content }}
         {%- endif %}
             {{- '}\n</tool_call>' }}
         {%- endfor %}
         {{- '<|im_end|>\n' }}
     {%- elif message.role == "tool" %}
         {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
             {{- '<|im_start|>user' }}
 {%- endfor %}
 {%- if add_generation_prompt %}
     {{- '<|im_start|>assistant\n' }}
+{%- endif %}