Instructions to use RKNNAI/RK182X-VLM-Janus-Pro-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use RKNNAI/RK182X-VLM-Janus-Pro-1B 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-VLM-Janus-Pro-1B # Run inference directly in the terminal: llama cli -hf RKNNAI/RK182X-VLM-Janus-Pro-1B
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf RKNNAI/RK182X-VLM-Janus-Pro-1B # Run inference directly in the terminal: llama cli -hf RKNNAI/RK182X-VLM-Janus-Pro-1B
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-VLM-Janus-Pro-1B # Run inference directly in the terminal: ./llama-cli -hf RKNNAI/RK182X-VLM-Janus-Pro-1B
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-VLM-Janus-Pro-1B # Run inference directly in the terminal: ./build/bin/llama-cli -hf RKNNAI/RK182X-VLM-Janus-Pro-1B
Use Docker
docker model run hf.co/RKNNAI/RK182X-VLM-Janus-Pro-1B
- LM Studio
- Jan
- vLLM
How to use RKNNAI/RK182X-VLM-Janus-Pro-1B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "RKNNAI/RK182X-VLM-Janus-Pro-1B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "RKNNAI/RK182X-VLM-Janus-Pro-1B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/RKNNAI/RK182X-VLM-Janus-Pro-1B
- Ollama
How to use RKNNAI/RK182X-VLM-Janus-Pro-1B with Ollama:
ollama run hf.co/RKNNAI/RK182X-VLM-Janus-Pro-1B
- Unsloth Desktop
- Docker Model Runner
How to use RKNNAI/RK182X-VLM-Janus-Pro-1B with Docker Model Runner:
docker model run hf.co/RKNNAI/RK182X-VLM-Janus-Pro-1B
- Lemonade
How to use RKNNAI/RK182X-VLM-Janus-Pro-1B with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull RKNNAI/RK182X-VLM-Janus-Pro-1B
Run and chat with the model
lemonade run user.RK182X-VLM-Janus-Pro-1B-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
RK182X-VLM-Janus-Pro-1B
1. Model Overview
This repository provides an RKNN model converted from deepseek-ai/Janus-Pro-1B.
- Model ID:
RKNNAI/RK182X-VLM-Janus-Pro-1B - Model Display Name:
RK182X-VLM-Janus-Pro-1B - RKNN Runtime Version:
v1.1.0 - Source Model:
deepseek-ai/Janus-Pro-1B - Model Type: VLM
- Chip Label: RK182X
- Supported Chips: RK1828
Available Models
| RKNN Runtime Version | Configuration Directory | Supported Chips | Resolution | Quantization | NPU Cores | Context Length (tokens) | KVCache |
|---|---|---|---|---|---|---|---|
v1.1.0 |
Janus-Pro-1B-384x384-w4a16-8-15872 | RK1828 | Vision: 384x384 | Vision: w4a16; LLM: w4a16 | Vision: 8; LLM: 8 | LLM: 15872 (15.5k) | LLM: fp16 |
2. Files
| File or Directory | Description |
|---|---|
LICENSE |
Source model license |
NOTICE |
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-VLM-Janus-Pro-1B --revision v1.1.0 --local_dir ./RK182X-VLM-Janus-Pro-1B
Download the full repository from Hugging Face:
hf download RKNNAI/RK182X-VLM-Janus-Pro-1B --revision v1.1.0 --local-dir ./RK182X-VLM-Janus-Pro-1B
Download a specific configuration from ModelScope:
from modelscope import snapshot_download
snapshot_download(
"RKNNAI/RK182X-VLM-Janus-Pro-1B",
revision="v1.1.0",
allow_patterns=["README.md", "README_CN.md", "LICENSE", "NOTICE", "Janus-Pro-1B-384x384-w4a16-8-15872/**"],
local_dir="./RK182X-VLM-Janus-Pro-1B",
)
Download a specific configuration from Hugging Face:
hf download RKNNAI/RK182X-VLM-Janus-Pro-1B --revision v1.1.0 --include "README.md" "README_CN.md" "LICENSE" "NOTICE" "Janus-Pro-1B-384x384-w4a16-8-15872/**" --local-dir ./RK182X-VLM-Janus-Pro-1B
4. SHA-256 Verification
Run in the configuration directory:
cd ./RK182X-VLM-Janus-Pro-1B/Janus-Pro-1B-384x384-w4a16-8-15872
sha256sum -c SHA256SUMS
Deploy only after all entries show OK.
5. Compatibility and Limitations
- Supported Chips: RK1828.
- Use the matching RKNN Runtime and driver. Check the device-side version with
rknn-smi -vbefore running. - Use the files from the selected configuration directory together.
- Provides image understanding and text generation; image generation components are not included.
6. Copyright and License
- Source model license: DeepSeek Model License, See LICENSE for the full text and NOTICE for attribution and conversion modifications.
- The artifacts in this repository are converted derivatives of the source weights, not unmodified upstream weights. They remain subject to the source model license and usage restrictions.
- The applicable RKNN Toolkit and RKNN Runtime licenses also apply; runtime libraries are not included in this package.
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Hardware compatibility
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Model tree for RKNNAI/RK182X-VLM-Janus-Pro-1B
Base model
deepseek-ai/Janus-Pro-1B