Instructions to use thanhtantran/Qwen3-4B-Instruct-2507-RKLLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- RKLLM
How to use thanhtantran/Qwen3-4B-Instruct-2507-RKLLM with RKLLM:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Qwen3-4B-Instruct-2507 for RK3588
This repository contains the optimized RKLLM (Language) models for running Qwen3-4B-Instruct-2507 on Rockchip RK3588 NPUs.
π¦ Files
| File | Type | Description |
|---|---|---|
qwen3-4b-instruct-2507_w8a8_rk3588.rkllm |
RKLLM | Language Decoder (w8a8) |
βοΈ System Requirements
- NPU Driver:
β₯ 0.9.8 - RKLLM Runtime:
v1.2.3 - RKNN-Toolkit2:
v2.3.0
π» Tested Hardware
- Device: Orange Pi 5 Pro
- RAM: 16GB
- OS: Armbian OS
π Acknowledgements
- Qwen Team for the base model architecture.
- Rockchip / airockchip for the RKLLM toolkit and runtime.
- Converted by Akmal Dira.
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Model tree for thanhtantran/Qwen3-4B-Instruct-2507-RKLLM
Base model
Qwen/Qwen3-4B-Instruct-2507