File size: 2,237 Bytes
9db6b8b ea8047a 9db6b8b ea8047a 00c5eb6 ea8047a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 | ---
license: llama3.2
base_model: meta-llama/Llama-3.2-3B-Instruct
pipeline_tag: text-generation
library_name: rkllm
tags:
- rkllm
- rockchip
- rk3576
- rk3588
- llama
- llama-3.2
---
# Llama-3.2-3B-Instruct-RKLLM
RKLLM-converted Llama 3.2 3B Instruct language-model artifacts for Rockchip RK3576 and RK3588 NPUs.
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.
## Base model
- Upstream model: [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct)
- License: Llama 3.2 Community License
- Model type: LLM (text only)
The upstream model is gated. Review Meta's license and acceptable-use policy before use or redistribution.
## Conversion and variants
### Toolkit version
**RKLLM Toolkit: v1.3.0**
Use a file built for the exact target SoC.
| Target | Quantization | File | SHA256 |
| --- | --- | --- | --- |
| RK3576 | W4A16 (g128) | [Llama-3.2-3B-Instruct_RK3576_w4a16_g128.rkllm](RK3576/Llama-3.2-3B-Instruct_RK3576_w4a16_g128.rkllm) | `211ddffb27a2e429917639ce319a96fcc878b493433ebca3d0c28666a188750e` |
| RK3576 | W8A8 | [Llama-3.2-3B-Instruct_RK3576_w8a8.rkllm](RK3576/Llama-3.2-3B-Instruct_RK3576_w8a8.rkllm) | `117fa31e1f7d483d02513ddb073f1818b62ea48affc474f1e562e733179e50e9` |
| RK3588 | W8A8 | [Llama-3.2-3B-Instruct_RK3588_w8a8.rkllm](RK3588/Llama-3.2-3B-Instruct_RK3588_w8a8.rkllm) | `5373bb69394504fd7df55087a3431ccacb6af6df52781940ff11307ab409d535` |
The repository also includes `Llama-3.2-3B-Instruct_data_quant.json`, used as calibration data during conversion.
## Usage
```bash
hf download HanzoHuang/Llama-3.2-3B-Instruct-RKLLM \
RK3576/Llama-3.2-3B-Instruct_RK3576_w4a16_g128.rkllm \
--local-dir Llama-3.2-3B-Instruct-RKLLM
```
Use the Llama 3.2 Instruct chat template with the RKLLM runtime. For Docker deployment, see [Hanzo-Huang/rkllm-docker](https://github.com/Hanzo-Huang/rkllm-docker).
## Limitations
These are target-specific converted artifacts. Validate quality, memory use, and runtime compatibility on your own Rockchip device.
## Acknowledgements
Thanks to Meta, Rockchip, and the RKLLM community.
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