Instructions to use openbmb/MiniCPM5-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use openbmb/MiniCPM5-2B with Transformers:

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

pipe = pipeline("text-generation", model="openbmb/MiniCPM5-2B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("openbmb/MiniCPM5-2B")
model = AutoModelForCausalLM.from_pretrained("openbmb/MiniCPM5-2B", 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=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use openbmb/MiniCPM5-2B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "openbmb/MiniCPM5-2B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "openbmb/MiniCPM5-2B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/openbmb/MiniCPM5-2B

SGLang

How to use openbmb/MiniCPM5-2B 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 "openbmb/MiniCPM5-2B" \
    --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": "openbmb/MiniCPM5-2B",
		"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 "openbmb/MiniCPM5-2B" \
        --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": "openbmb/MiniCPM5-2B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use openbmb/MiniCPM5-2B with Docker Model Runner:
```
docker model run hf.co/openbmb/MiniCPM5-2B
```

Remove the dead `<tool_sep>` branch from chat_template.jinja (fixes OpenBMB/MiniCPM#379)

#19

by lhz7891444 - opened 17 days ago

base: refs/heads/main

←

from: refs/pr/19

Discussion Files changed

-66

Files changed (1) hide show

chat_template.jinja +1 -66

chat_template.jinja CHANGED Viewed

@@ -51,71 +51,6 @@
             {%- endif %}
         {%- endif %}
-        {%- if message.tool_calls %}
-            {%- set content_parts = content.split('<tool_sep>') %}
-            {%- set processed_content = content_parts[0] %}
-            {%- set tool_calls_count = message.tool_calls|length %}
-            {%- set tool_sep_count = content_parts|length - 1 %}
-            {%- set min_count = [tool_calls_count, tool_sep_count]|min %}
-            {%- for i in range(1, content_parts|length) %}
-                {%- set tool_index = i - 1 %}
-                {%- if tool_index < tool_calls_count %}
-                    {%- set tool_call = message.tool_calls[tool_index] %}
-                    {%- if tool_call.function %}
-                        {%- set tool_call = tool_call.function %}
-                    {%- endif %}
-                    {%- set single_tool_xml %}
-                        {{- '<function name="' ~ tool_call.name ~ '">' }}
-                        {%- if tool_call.arguments %}
-                            {%- set args_dict = tool_call.arguments %}
-                            {%- for param_name, param_value in args_dict.items() %}
-                                {{- '<param name="' ~ param_name ~ '">' }}
-                                {%- if param_value is string and ('<' in param_value or '&' in param_value or '\n' in param_value) %}
-                                    {{- '<![CDATA[' + param_value + ']]>' }}
-                                {%- else %}
-                                    {{- param_value }}
-                                {%- endif %}
-                                {{- '</param>' }}
-                            {%- endfor %}
-                        {%- endif %}
-                        {{- '</function>' }}
-                    {%- endset %}
-                    {%- set processed_content = processed_content + single_tool_xml + content_parts[i] %}
-                {%- else %}
-                    {%- set processed_content = processed_content + content_parts[i] %}
-                {%- endif %}
-            {%- endfor %}
-            {%- if tool_calls_count > tool_sep_count %}
-                {%- for remaining_index in range(tool_sep_count, tool_calls_count) %}
-                    {%- set tool_call = message.tool_calls[remaining_index] %}
-                    {%- if tool_call.function %}
-                        {%- set tool_call = tool_call.function %}
-                    {%- endif %}
-                    {%- set remaining_tool_xml %}
-                        {{- '<function name="' ~ tool_call.name ~ '">' }}
-                        {%- if tool_call.arguments %}
-                            {%- set args_dict = tool_call.arguments %}
-                            {%- for param_name, param_value in args_dict.items() %}
-                                {{- '<param name="' ~ param_name ~ '">' }}
-                                {%- if param_value is string and ('<' in param_value or '&' in param_value or '\n' in param_value) %}
-                                    {{- '<![CDATA[' + param_value + ']]>' }}
-                                {%- else %}
-                                    {{- param_value }}
-                                {%- endif %}
-                                {{- '</param>' }}
-                            {%- endfor %}
-                        {%- endif %}
-                        {{- '</function>' }}
-                    {%- endset %}
-                    {%- set processed_content = processed_content + remaining_tool_xml %}
-                {%- endfor %}
-            {%- endif %}
-            {%- set content = processed_content %}
-        {%- endif %}
         {%- if reasoning_content %}
             {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
         {%- elif '<think>' not in content and '</think>' not in content %}
@@ -124,7 +59,7 @@
             {{- '<|im_start|>' + message.role + '\n' + content }}
         {%- endif %}
-        {%- if message.tool_calls and not has_tool_sep %}
             {%- for tool_call in message.tool_calls %}
                 {%- if (loop.first and content) or (not loop.first) %}
                     {{- '\n' }}

             {%- endif %}
         {%- endif %}
         {%- if reasoning_content %}
             {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
         {%- elif '<think>' not in content and '</think>' not in content %}
             {{- '<|im_start|>' + message.role + '\n' + content }}
         {%- endif %}
+        {%- if message.tool_calls %}
             {%- for tool_call in message.tool_calls %}
                 {%- if (loop.first and content) or (not loop.first) %}
                     {{- '\n' }}