Instructions to use HanzoHuang/MiniCPM5-2B-RKNN3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use HanzoHuang/MiniCPM5-2B-RKNN3 with RKLLM:

# No code snippets available yet for this library.

# To use this model, check the repository files and the library's documentation.

# Want to help? PRs adding snippets are welcome at:
# https://github.com/huggingface/huggingface.js

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use HanzoHuang/MiniCPM5-2B-RKNN3 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 HanzoHuang/MiniCPM5-2B-RKNN3
# Run inference directly in the terminal:
llama cli -hf HanzoHuang/MiniCPM5-2B-RKNN3

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf HanzoHuang/MiniCPM5-2B-RKNN3
# Run inference directly in the terminal:
llama cli -hf HanzoHuang/MiniCPM5-2B-RKNN3

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf HanzoHuang/MiniCPM5-2B-RKNN3
# Run inference directly in the terminal:
./build/bin/llama cli -hf HanzoHuang/MiniCPM5-2B-RKNN3

Use Docker

docker model run hf.co/HanzoHuang/MiniCPM5-2B-RKNN3

Llama new
LM Studio
Jan

vLLM

How to use HanzoHuang/MiniCPM5-2B-RKNN3 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "HanzoHuang/MiniCPM5-2B-RKNN3"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "HanzoHuang/MiniCPM5-2B-RKNN3",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/HanzoHuang/MiniCPM5-2B-RKNN3

Ollama
How to use HanzoHuang/MiniCPM5-2B-RKNN3 with Ollama:
```
ollama run hf.co/HanzoHuang/MiniCPM5-2B-RKNN3
```
Unsloth Desktop

How to use HanzoHuang/MiniCPM5-2B-RKNN3 with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf HanzoHuang/MiniCPM5-2B-RKNN3

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": "HanzoHuang/MiniCPM5-2B-RKNN3"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use HanzoHuang/MiniCPM5-2B-RKNN3 with Docker Model Runner:
```
docker model run hf.co/HanzoHuang/MiniCPM5-2B-RKNN3
```

Lemonade

How to use HanzoHuang/MiniCPM5-2B-RKNN3 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull HanzoHuang/MiniCPM5-2B-RKNN3

Run and chat with the model

lemonade run user.MiniCPM5-2B-RKNN3-{{QUANT_TAG}}

List all available models

lemonade list

Hermes Agent

How to use HanzoHuang/MiniCPM5-2B-RKNN3 with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf HanzoHuang/MiniCPM5-2B-RKNN3

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 HanzoHuang/MiniCPM5-2B-RKNN3

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use HanzoHuang/MiniCPM5-2B-RKNN3 with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf HanzoHuang/MiniCPM5-2B-RKNN3

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 "HanzoHuang/MiniCPM5-2B-RKNN3" \
  --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"

HanzoHuang commited on Sep 12

Commit

469c7a1

verified ·

1 Parent(s): 404ed01

Improve RKLLM3 search discoverability

Browse files

Files changed (1) hide show

README.md +5 -2

README.md CHANGED Viewed

@@ -8,6 +8,9 @@ language:
 - zh
 tags:
 - rknn3
 - rockchip
 - rk1820
 - rk1828
@@ -18,9 +21,9 @@ tags:
 - w4a16
 ---
-# MiniCPM5-2B-RKNN3
-RKNN3-converted [openbmb/MiniCPM5-2B](https://huggingface.co/openbmb/MiniCPM5-2B) artifacts for the Rockchip **RK1820** and **RK1828** AI coprocessors.
 These are hardware-specific deployment artifacts, not a Transformers checkpoint and not an RKLLM model. They were produced with **rknn3-toolkit v1.1.0** for the new RKNN3 toolchain and are intended for use with a compatible RKNN3 Runtime, firmware, demo, or `rkllm3-server`.

 - zh
 tags:
 - rknn3
+- rkllm
+- rkllm3
+- rkllm3-server
 - rockchip
 - rk1820
 - rk1828
 - w4a16
 ---
+# MiniCPM5-2B for RKNN3 / RKLLM3 Server
+RKNN3-converted [openbmb/MiniCPM5-2B](https://huggingface.co/openbmb/MiniCPM5-2B) LLM artifacts for the Rockchip **RK1820** and **RK1828** AI coprocessors, ready for deployment with Rockchip's **RKLLM3 Server** (`rkllm3-server`) or the RKNN3 Runtime examples.
 These are hardware-specific deployment artifacts, not a Transformers checkpoint and not an RKLLM model. They were produced with **rknn3-toolkit v1.1.0** for the new RKNN3 toolchain and are intended for use with a compatible RKNN3 Runtime, firmware, demo, or `rkllm3-server`.