Document RKLLM artifacts and checksums
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README.md
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license: apache-2.0
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---
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---
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license: apache-2.0
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base_model: Qwen/Qwen2-0.5B-Instruct
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pipeline_tag: text-generation
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library_name: rkllm
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tags:
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- rkllm
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- rockchip
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- rk3576
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- rk3588
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- qwen
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- qwen2
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---
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# Qwen2-0.5B-Instruct-RKLLM
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RKLLM-converted Qwen2-0.5B-Instruct language-model artifacts for Rockchip RK3576 and RK3588 NPUs.
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These hardware-specific `.rkllm` files require a compatible Rockchip RKLLM runtime. They are not Transformers checkpoints and cannot be loaded directly with Transformers, llama.cpp, or Ollama.
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## Base model
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- Upstream model: [Qwen/Qwen2-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2-0.5B-Instruct)
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- License: Apache-2.0
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- Model type: LLM (text only)
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## Conversion and variants
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Converted with RKLLM Toolkit 1.3.0. Use a file built for the exact target SoC.
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| Target | Quantization | File | SHA256 |
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| --- | --- | --- | --- |
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| RK3576 | W4A16 (g128) | [Qwen2-0.5B-Instruct_RK3576_w4a16_g128.rkllm](RK3576/Qwen2-0.5B-Instruct_RK3576_w4a16_g128.rkllm) | `a166cdcff5d8a2e33423d01d8bac6f7a6ad1e1130fbd0bfefdb8b69082113e87` |
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| RK3576 | W8A8 | [Qwen2-0.5B-Instruct_RK3576_w8a8.rkllm](RK3576/Qwen2-0.5B-Instruct_RK3576_w8a8.rkllm) | `cdccb51e23131352823af8becf9ac4acb15cb30f0f961e89d16cb0fabd003414` |
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| RK3588 | W8A8 | [Qwen2-0.5B-Instruct_RK3588_w8a8.rkllm](RK3588/Qwen2-0.5B-Instruct_RK3588_w8a8.rkllm) | `24e99eeea1512d6e7f3f120f3344a510933301dfcb72bd64b24a9724ab48e1d8` |
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The repository also includes `Qwen2-0.5B-Instruct_data_quant.json`, used as calibration data during conversion.
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## Usage
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```bash
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hf download HanzoHuang/Qwen2-0.5B-Instruct-RKLLM \
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RK3576/Qwen2-0.5B-Instruct_RK3576_w4a16_g128.rkllm \
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--local-dir Qwen2-0.5B-Instruct-RKLLM
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```
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Use the Qwen2 Instruct chat template with the RKLLM runtime. For Docker deployment, see [Hanzo-Huang/rkllm-docker](https://github.com/Hanzo-Huang/rkllm-docker).
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## Limitations
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These are target-specific converted artifacts. Validate quality and runtime compatibility on your Rockchip device.
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## Acknowledgements
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Thanks to the Qwen Team, Rockchip, and the RKLLM community.
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