MiniCPM5-2B-OpenNPU2

Instructions to use Atomic-Germ/MiniCPM5-2B-OpenNPU2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Atomic-Germ/MiniCPM5-2B-OpenNPU2 with Transformers:

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

pipe = pipeline("text-generation", model="Atomic-Germ/MiniCPM5-2B-OpenNPU2")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Atomic-Germ/MiniCPM5-2B-OpenNPU2")
model = AutoModelForCausalLM.from_pretrained("Atomic-Germ/MiniCPM5-2B-OpenNPU2", 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

llama.cpp

How to use Atomic-Germ/MiniCPM5-2B-OpenNPU2 with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Atomic-Germ/MiniCPM5-2B-OpenNPU2:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Atomic-Germ/MiniCPM5-2B-OpenNPU2:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Atomic-Germ/MiniCPM5-2B-OpenNPU2:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Atomic-Germ/MiniCPM5-2B-OpenNPU2:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf Atomic-Germ/MiniCPM5-2B-OpenNPU2:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Atomic-Germ/MiniCPM5-2B-OpenNPU2:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf Atomic-Germ/MiniCPM5-2B-OpenNPU2:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Atomic-Germ/MiniCPM5-2B-OpenNPU2:Q4_K_M

Use Docker

docker model run hf.co/Atomic-Germ/MiniCPM5-2B-OpenNPU2:Q4_K_M

LM Studio
Jan

vLLM

How to use Atomic-Germ/MiniCPM5-2B-OpenNPU2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Atomic-Germ/MiniCPM5-2B-OpenNPU2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Atomic-Germ/MiniCPM5-2B-OpenNPU2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Atomic-Germ/MiniCPM5-2B-OpenNPU2:Q4_K_M

SGLang

How to use Atomic-Germ/MiniCPM5-2B-OpenNPU2 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 "Atomic-Germ/MiniCPM5-2B-OpenNPU2" \
    --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": "Atomic-Germ/MiniCPM5-2B-OpenNPU2",
		"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 "Atomic-Germ/MiniCPM5-2B-OpenNPU2" \
        --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": "Atomic-Germ/MiniCPM5-2B-OpenNPU2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Ollama
How to use Atomic-Germ/MiniCPM5-2B-OpenNPU2 with Ollama:
```
ollama run hf.co/Atomic-Germ/MiniCPM5-2B-OpenNPU2:Q4_K_M
```
Unsloth Desktop

How to use Atomic-Germ/MiniCPM5-2B-OpenNPU2 with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Atomic-Germ/MiniCPM5-2B-OpenNPU2:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "Atomic-Germ/MiniCPM5-2B-OpenNPU2:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use Atomic-Germ/MiniCPM5-2B-OpenNPU2 with Docker Model Runner:
```
docker model run hf.co/Atomic-Germ/MiniCPM5-2B-OpenNPU2:Q4_K_M
```

Lemonade

How to use Atomic-Germ/MiniCPM5-2B-OpenNPU2 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Atomic-Germ/MiniCPM5-2B-OpenNPU2:Q4_K_M

Run and chat with the model

lemonade run user.MiniCPM5-2B-OpenNPU2-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use Atomic-Germ/MiniCPM5-2B-OpenNPU2 with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Atomic-Germ/MiniCPM5-2B-OpenNPU2:Q4_K_M

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default Atomic-Germ/MiniCPM5-2B-OpenNPU2:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use Atomic-Germ/MiniCPM5-2B-OpenNPU2 with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Atomic-Germ/MiniCPM5-2B-OpenNPU2:Q4_K_M

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "Atomic-Germ/MiniCPM5-2B-OpenNPU2:Q4_K_M" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

MiniCPM5-2B-OpenNPU2

File size: 2,268 Bytes

---
license: apache-2.0
language:
- en
- zh
base_model:
- openbmb/MiniCPM5-2B
base_model_relation: quantized
quantized_by: Atomic-Germ
pipeline_tag: text-generation
tags:
- transformers
- safetensors
- llama
- text-generation
- minicpm
- minicpm5
- long-context
- tool-calling
- on-device
- edge-ai
- conversational
- en
- zh
- dataset:openbmb/Ultra-FineWeb
- dataset:openbmb/UltraX-Preview
- dataset:openbmb/Ultra-FineWeb-L3
- dataset:openbmb/UltraData-Math
- dataset:openbmb/UltraData-Code
- dataset:openbmb/UltraData-SFT-2605
- dataset:openbmb/UltraData-SFT-Agent-2609
- dataset:openbmb/UltraData-RL-2609
- arxiv:2506.07900
- arxiv:2602.09003
- license:apache-2.0
- text-generation-inference
- endpoints_compatible
- region:us
---
# MiniCPM5-2B-OpenNPU2-NPU2

**OpenFlowLM Q4NX conversion of [`openbmb/MiniCPM5-2B`](https://huggingface.co/openbmb/MiniCPM5-2B)** for AMD XDNA NPU inference.

This repository contains a quantized **Q4NX** port of the model, compiled for the OpenFlowLM (OFLM) runtime. It is **not** a GGUF file.

| Item | Value |
|------|-------|
| Source model | [`openbmb/MiniCPM5-2B`](https://huggingface.co/openbmb/MiniCPM5-2B) |
| Source GGUF | `MiniCPM5-2B.i1-Q4_1.gguf` |
| Weights | `model.q4nx` (1.81 GB) |
| Modality | language |
| OFLM version | `0.1.0` |
| Converted | 2026-09-14 |

## Install and run

This repository works with `oflm-add`, a small installer that copies the model
into the OpenFlowLM user directory and registers the tag. It never
modifies the system OpenFlowLM install.

`pip install oflm-add` or `uv tool install oflm-add`

```bash
uv tool install oflm-add
oflm-add Atomic-Germ/MiniCPM5-2B-OpenNPU2-NPU2 --family qwen3.5 --xclbin-from MiniCPM5-2B-OpenNPU2-NPU2
OFLM_CONFIG_PATH="$HOME/.config/oflm/model_list.json" OFLM_XCLBIN_PATH="$HOME/.config/oflm" oflm run MiniCPM5-2B-OpenNPU2-NPU2
```

## Files

| File | Description |
|------|-------------|
| `model.q4nx` | Quantized weights (Q8_0 / Q4_1 / BF16) |
| `config.json` | OFLM runtime configuration |
| `tokenizer.json` | Tokenizer vocabulary |
| `tokenizer_config.json` | Tokenizer configuration |
| `chat_template.jinja` | Chat template |


---

## Source model card

See the original model card: [openbmb/MiniCPM5-2B](https://huggingface.co/openbmb/MiniCPM5-2B)