Instructions to use RKNNAI/RK182X-LLM-functiongemma-270m-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use RKNNAI/RK182X-LLM-functiongemma-270m-it 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 RKNNAI/RK182X-LLM-functiongemma-270m-it
# Run inference directly in the terminal:
llama cli -hf RKNNAI/RK182X-LLM-functiongemma-270m-it

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf RKNNAI/RK182X-LLM-functiongemma-270m-it
# Run inference directly in the terminal:
llama cli -hf RKNNAI/RK182X-LLM-functiongemma-270m-it

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 RKNNAI/RK182X-LLM-functiongemma-270m-it
# Run inference directly in the terminal:
./llama-cli -hf RKNNAI/RK182X-LLM-functiongemma-270m-it

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 RKNNAI/RK182X-LLM-functiongemma-270m-it
# Run inference directly in the terminal:
./build/bin/llama-cli -hf RKNNAI/RK182X-LLM-functiongemma-270m-it

Use Docker

docker model run hf.co/RKNNAI/RK182X-LLM-functiongemma-270m-it

LM Studio
Jan

vLLM

How to use RKNNAI/RK182X-LLM-functiongemma-270m-it with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "RKNNAI/RK182X-LLM-functiongemma-270m-it"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "RKNNAI/RK182X-LLM-functiongemma-270m-it",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/RKNNAI/RK182X-LLM-functiongemma-270m-it

Ollama
How to use RKNNAI/RK182X-LLM-functiongemma-270m-it with Ollama:
```
ollama run hf.co/RKNNAI/RK182X-LLM-functiongemma-270m-it
```
Unsloth Desktop

How to use RKNNAI/RK182X-LLM-functiongemma-270m-it with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf RKNNAI/RK182X-LLM-functiongemma-270m-it

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": "RKNNAI/RK182X-LLM-functiongemma-270m-it"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use RKNNAI/RK182X-LLM-functiongemma-270m-it with Docker Model Runner:
```
docker model run hf.co/RKNNAI/RK182X-LLM-functiongemma-270m-it
```

Lemonade

How to use RKNNAI/RK182X-LLM-functiongemma-270m-it with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull RKNNAI/RK182X-LLM-functiongemma-270m-it

Run and chat with the model

lemonade run user.RK182X-LLM-functiongemma-270m-it-{{QUANT_TAG}}

List all available models

lemonade list

Hermes Agent

How to use RKNNAI/RK182X-LLM-functiongemma-270m-it with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf RKNNAI/RK182X-LLM-functiongemma-270m-it

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 RKNNAI/RK182X-LLM-functiongemma-270m-it

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use RKNNAI/RK182X-LLM-functiongemma-270m-it with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf RKNNAI/RK182X-LLM-functiongemma-270m-it

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 "RKNNAI/RK182X-LLM-functiongemma-270m-it" \
  --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"

RK182X-LLM-functiongemma-270m-it

English | 简体中文

1. Model Overview

This repository provides an RKNN LLM model converted from google/functiongemma-270m-it.

Model ID: RKNNAI/RK182X-LLM-functiongemma-270m-it
Model Display Name: RK182X-LLM-functiongemma-270m-it
RKNN Runtime Version: v1.1.0
Source Model: google/functiongemma-270m-it
Model Type: LLM
Chip Label: RK182X
Supported Chips: RK1820, RK1828

Available Models

RKNN Runtime Version	Configuration Directory	Supported Chips	Quantization	NPU Cores	Context Length (tokens)	KVCache
`v1.1.0`	functiongemma-270m-it-w4a16-8-8192	RK1820, RK1828	w4a16	8	8192 (8k)	fp16

2. Files

File or Directory	Description
`LICENSE`	Source model license
`Notice`	License, usage requirements, and attribution
`USE_RESTRICTIONS.txt`	License, usage requirements, and attribution
`<configuration-directory>/`	Matching model files
Subdirectory `README.md`	Configuration documentation (English)
Subdirectory `README_CN.md`	Configuration documentation (Chinese)
Subdirectory `config.json`	Model configuration and file manifest
Subdirectory `SHA256SUMS`	SHA-256 checksums of the files in this directory (excluding this file)

3. Download

Download the full repository from ModelScope:

modelscope download --model RKNNAI/RK182X-LLM-functiongemma-270m-it --revision v1.1.0 --local_dir ./RK182X-LLM-functiongemma-270m-it

Download the full repository from Hugging Face:

hf download RKNNAI/RK182X-LLM-functiongemma-270m-it --revision v1.1.0 --local-dir ./RK182X-LLM-functiongemma-270m-it

Download a specific configuration from ModelScope:

from modelscope import snapshot_download

snapshot_download(
    "RKNNAI/RK182X-LLM-functiongemma-270m-it",
    revision="v1.1.0",
    allow_patterns=["README.md", "README_CN.md", "LICENSE", "Notice", "USE_RESTRICTIONS.txt", "functiongemma-270m-it-w4a16-8-8192/**"],
    local_dir="./RK182X-LLM-functiongemma-270m-it",
)

Download a specific configuration from Hugging Face:

hf download RKNNAI/RK182X-LLM-functiongemma-270m-it --revision v1.1.0 --include "README.md" "README_CN.md" "LICENSE" "Notice" "USE_RESTRICTIONS.txt" "functiongemma-270m-it-w4a16-8-8192/**" --local-dir ./RK182X-LLM-functiongemma-270m-it

4. SHA-256 Verification

Run in the configuration directory:

cd ./RK182X-LLM-functiongemma-270m-it/functiongemma-270m-it-w4a16-8-8192
sha256sum -c SHA256SUMS

Deploy only after all entries show OK.

5. Compatibility and Limitations

Supported Chips: RK1820, RK1828.
Use the matching RKNN Runtime and driver. Check the device-side version with rknn-smi -v before running.
Use the files from the selected configuration directory together.
Designed for tool calling; use the matching tool prompt template.

6. Copyright and License

See LICENSE in the repository root for the source model license; The RKNN Toolkit and RKNN Runtime license terms also apply.

This release is an RKNN-converted/quantized derivative of the source model. The original license and attribution notices are retained; see Notice.

The source model uses Gemma Terms of Use, not Apache 2.0. Use and redistribution are also subject to the usage restrictions.

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Architecture

gemma3

Hardware compatibility

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