Instructions to use openbmb/MiniCPM4-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use openbmb/MiniCPM4-8B with Transformers:

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

pipe = pipeline("text-generation", model="openbmb/MiniCPM4-8B", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("openbmb/MiniCPM4-8B", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use openbmb/MiniCPM4-8B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "openbmb/MiniCPM4-8B"
# 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/MiniCPM4-8B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/openbmb/MiniCPM4-8B

SGLang

How to use openbmb/MiniCPM4-8B 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/MiniCPM4-8B" \
    --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/MiniCPM4-8B",
		"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/MiniCPM4-8B" \
        --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/MiniCPM4-8B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use openbmb/MiniCPM4-8B with Docker Model Runner:
```
docker model run hf.co/openbmb/MiniCPM4-8B
```

llama.cpp - GGUF support

by Doctor-Chad-PhD - opened Jun 6, 2025

Discussion

Doctor-Chad-PhD

Jun 6, 2025

Hi,

Is this model not supported by llama.cpp (gguf format)?
Or is there an error in the implementation?

I'm getting this message when trying to quantize to gguf at the moment:

  File "convert_hf_to_gguf.py", line 2553, in set_gguf_parameters
    logit_scale = self.hparams["hidden_size"] / self.hparams["dim_model_base"]
                                                ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^
KeyError: 'dim_model_base'

Thank you for your time.

Doctor-Chad-PhD changed discussion title from GGUF support to llama.cpp - GGUF support Jun 6, 2025

Doctor-Chad-PhD

Jun 6, 2025

BigDong

OpenBMB org Jun 6, 2025

We have already fixed this error. add dim_model_base = 256. You can update the model and try again

Doctor-Chad-PhD

Jun 7, 2025

I don't understand why you didn't just merge my commit?
I created that commit myself, then your team member "xcjthu" copied it (6 hours later), and merged it as his own commit here.
Then you closed my original commit and said that it had already been fixed?

xcjthu

OpenBMB org Jun 10, 2025

I sincerely apologize for the oversight. When I was working on fixing this bug, I didn't notice your commit. I truly appreciate your contribution and help with our project.

You're absolutely right to point this out - we should have acknowledged your original work properly. We'll improve our review process to prevent this from happening again.

Doctor-Chad-PhD

Jun 10, 2025

No problem, thank you ❤️

xcjthu changed discussion status to closed Jun 11, 2025

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