Instructions to use GatekeeperZA/Qwen3-4B-Instruct-2507-RKLLM-v1.2.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- RKLLM
How to use GatekeeperZA/Qwen3-4B-Instruct-2507-RKLLM-v1.2.3 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
| license: apache-2.0 | |
| base_model: Qwen/Qwen3-4B-Instruct-2507 | |
| tags: | |
| - rkllm | |
| - rk3588 | |
| - rockchip | |
| - npu | |
| - quantized | |
| - qwen3 | |
| language: | |
| - en | |
| - zh | |
| # Qwen3-4B-Instruct-2507 — RKLLM v1.2.3 (w8a8, RK3588) | |
| RKLLM conversion of [Qwen/Qwen3-4B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507) for Rockchip RK3588 NPU inference. | |
| Converted with RKLLM Toolkit v1.2.3. The `2507` suffix denotes the July 2025 refresh of Qwen3-4B with improved instruction following. | |
| > **Note:** This model does **not** produce `<think>` reasoning blocks in this RKLLM build (thinking mode is disabled). See [RKLLM thinking mode limitations](https://github.com/airockchip/rknn-llm). | |
| ## Key Details | |
| | Property | Value | | |
| |----------|-------| | |
| | Base Model | Qwen/Qwen3-4B-Instruct-2507 | | |
| | Toolkit Version | RKLLM Toolkit v1.2.3 | | |
| | Runtime Version | RKLLM Runtime ≥ v1.2.1 (v1.2.3 recommended) | | |
| | Quantization | w8a8, group size 128 | | |
| | Target Platform | RK3588 | | |
| | NPU Cores | 3 | | |
| | Max Context Length | 16384 tokens | | |
| | Optimization Level | 1 | | |
| | Hybrid Ratio | 0.0 | | |
| | Thinking Mode | ❌ Disabled | | |
| | Languages | English, Chinese (multilingual) | | |
| ## Why This Model? | |
| Qwen3-4B-Instruct-2507 is the July 2025 update to Alibaba's Qwen3-4B, with improved reasoning and instruction following. At 4B parameters it is the largest text-only model in this RK3588 lineup and handles complex prompts well despite the quantization. | |
| The 16k context window (vs 8k on smaller models) enables long document summarisation and multi-turn conversations. | |
| ## Hardware Tested | |
| - **Orange Pi 5 Plus** — RK3588, 16GB RAM, Armbian Linux | |
| - RKNPU driver 0.9.8 | |
| - RKLLM Runtime v1.2.3 | |
| ## Usage | |
| ### With the RKLLM API Server | |
| ```bash | |
| mkdir -p ~/models/Qwen3-4B-Instruct-2507 | |
| cd ~/models/Qwen3-4B-Instruct-2507 | |
| git lfs install && git clone https://huggingface.co/GatekeeperZA/Qwen3-4B-Instruct-2507-RKLLM-v1.2.3 . | |
| ``` | |
| Use with [GatekeeperZA/RKLLM-API-Server](https://github.com/GatekeeperZA/RKLLM-API-Server). | |
| ### With the official RKLLM API demo | |
| ```bash | |
| git clone https://github.com/airockchip/rknn-llm.git | |
| cd rknn-llm/examples/rkllm_api_demo | |
| ./build/rkllm_api_demo /path/to/Qwen3-4B-Instruct-2507-rk3588-w8a8_g128-opt-1-hybrid-ratio-0.0-16k.rkllm 8192 16384 | |
| ``` | |
| ## File Listing | |
| | File | Description | | |
| |------|-------------| | |
| | `Qwen3-4B-Instruct-2507-rk3588-w8a8_g128-opt-1-hybrid-ratio-0.0-16k.rkllm` | Quantized model for RK3588 NPU | | |
| ## Compatibility Notes | |
| - Minimum runtime: RKLLM Runtime v1.2.1. v1.2.3 recommended. | |
| - RKNPU driver: ≥ 0.9.6 | |
| - SoCs: RK3588 / RK3588S. Not compatible with RK3576 without reconversion. | |
| - RAM: ~5.5GB loaded. Requires 8GB+ board (16GB recommended). | |
| ## Acknowledgements | |
| - Alibaba Qwen Team for Qwen3 | |
| - Rockchip / airockchip for the RKLLM toolkit and runtime | |
| - Converted by [GatekeeperZA](https://huggingface.co/GatekeeperZA) | |