File size: 1,453 Bytes
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license: apache-2.0
base_model: Qwen/Qwen3-8B
tags:
- rkllm
- rk3576
- npu
- qwen3
---
# Qwen3-8B-Instruct — RK3576 (RKLLM)
RKLLM conversion of Qwen/Qwen3-8B for Rockchip RK3576 NPU inference (e.g. NanoPi R76S, Radxa Rock 4D, Orange Pi with RK3576).
## Conversion details
- Toolkit: rkllm-toolkit v1.2.3
- Target platform: RK3576 (dual-core NPU)
- Quantization: w4a16 (weights 4-bit, activations 16-bit)
- Quantization algorithm: normal
- NPU cores: 2
- Max context: 4096 tokens
- Optimization level: 1
## Files
- Qwen3-8B-rk3576.rkllm — converted model
- tokenizer.json, tokenizer_config.json, vocab.json, merges.txt — original tokenizer files from Qwen/Qwen3-8B
## Usage with RKLLama
Place the .rkllm file and tokenizer files in a model folder with this structure:
Qwen3-8B-Instruct/
├── Modelfile
├── Qwen3-8B-rk3576.rkllm
└── tokenizer/
├── tokenizer.json
├── tokenizer_config.json
├── vocab.json
└── merges.txt
Modelfile content:
FROM="Qwen3-8B-rk3576.rkllm"
HUGGINGFACE_PATH="Qwen/Qwen3-8B"
TOKENIZER="/models/Qwen3-8B-Instruct/tokenizer"
Restart RKLLama to detect the new model:
docker restart rkllama
## Notes
- Qwen3 is a hybrid thinking model. Depending on your runtime/UI, it may produce think tags with reasoning content.
- Tested on NanoPi R76S (RK3576, 16GB RAM) via RKLLama + Open WebUI.
- License follows the original Qwen3 license (Apache 2.0).
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