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)

# 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=40)
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
```

it will be good if model supports turkish

by AsThirtyThree - opened 2 days ago

Discussion

AsThirtyThree

2 days ago

i want to fine tune this model but i dont have enough resources,i just hope after updates makes this model supports turkish.

AgentCodeM

1 day ago

Belki Spark-X2.5'ı deneyebilirsin. Bence çok dilli destek sunuyorlar.

miifanboy

1 day ago

Belki Spark-X2.5'ı deneyebilirsin. Bence çok dilli destek sunuyorlar.

Even though Spark-X2.5's turkish support is better, it is still far from perfect as it sometimes injects chinese characters in the response and also it makes grammatical mistakes with suffixes in turkish.

i want to fine tune this model but i dont have enough resources,i just hope after updates makes this model supports turkish.

I am looking for ways to do it efficiently, I will let you know if I find a way I currently have 24GB of VRAM so it might be feasible on my system but there could be a massive degradation if it is done improperly.

AgentCodeM

1 day ago

I sincerely hope you can find similar approaches. We truly wish for barrier-free access to cutting-edge technology in more regions.

AsThirtyThree

1 day ago

Belki Spark-X2.5'ı deneyebilirsin. Bence çok dilli destek sunuyorlar.

Even though Spark-X2.5's turkish support is better, it is still far from perfect as it sometimes injects chinese characters in the response and also it makes grammatical mistakes with suffixes in turkish.

i want to fine tune this model but i dont have enough resources,i just hope after updates makes this model supports turkish.

I am looking for ways to do it efficiently, I will let you know if I find a way I currently have 24GB of VRAM so it might be feasible on my system but there could be a massive degradation if it is done improperly.

gemma and qwen models are surely better in turkish (especially gemma

AsThirtyThree changed discussion status to closed 1 day ago

AsThirtyThree changed discussion status to open 1 day ago

Merhabalar

about 8 hours ago

use gemma instead

AsThirtyThree

about 7 hours ago

use gemma instead

i mean gemma is good at turkish but cpm 2b gas better benchmarks,it will be good if there is a model do them at same time

Merhabalar

about 6 hours ago

use gemma instead

i mean gemma is good at turkish but cpm 2b gas better benchmarks,it will be good if there is a model do them at same time

cpm 2b is a 2B model it isnt gonna be great with anything. just use the one that can speak your language.

AsThirtyThree

about 6 hours ago

use gemma instead

i mean gemma is good at turkish but cpm 2b gas better benchmarks,it will be good if there is a model do them at same time

cpm 2b is a 2B model it isnt gonna be great with anything. just use the one that can speak your language.

ok,thanks for suggestion

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