Qwen2.5-1.5B-Instruct for RKLLM v1.2.3 (RK3588 NPU)
Pre-converted Qwen2.5-1.5B-Instruct for the Rockchip RK3588 NPU using rknn-llm runtime v1.2.3.
Runs on Orange Pi 5 Plus, Rock 5B, Radxa NX5, and other RK3588-based SBCs with 8GB+ RAM.
Files
| File | Size | Description |
|---|---|---|
Qwen2.5-1.5B-Instruct-rk3588-v123-w8a8.rkllm |
2.0 GB | LLM (W8A8 quantized, 8192 token context) |
Quick Start
Directory Structure
~/models/Qwen2.5-1.5B-Instruct/
Qwen2.5-1.5B-Instruct-rk3588-v123-w8a8.rkllm
Using with RKLLM API Server
This model is designed for use with the RKLLM API Server, which provides an OpenAI-compatible API for RK3588 NPU inference. The server auto-discovers .rkllm files by scanning subdirectories of your models folder.
# Place the model in your models directory
mkdir -p ~/models/Qwen2.5-1.5B-Instruct
# Copy .rkllm file here — the API server will find it automatically
sudo systemctl restart rkllm-api
The model will appear as qwen2.5-1.5b-instruct in the OpenAI-compatible model list.
Export Details
| Parameter | Value |
|---|---|
| Source | Qwen/Qwen2.5-1.5B-Instruct |
| Tool | rkllm-toolkit v1.2.3 |
| Quantization | W8A8 (8-bit weights, 8-bit activations) |
| Optimization level | 1 |
| Target platform | rk3588 |
| NPU cores | 3 |
| Max context | 8192 tokens |
Performance Benchmarks
Tested on Orange Pi 5 Plus (16GB RAM), RK3588 SoC, RKNPU driver 0.9.8:
| Metric | Value |
|---|---|
| Decode speed | ~19 tok/s |
| Model load time | ~3 s |
| Peak RAM | ~2.2 GB |
Known Limitations
- Tool calling: Qwen2.5-1.5B is a general-purpose instruct model, not fine-tuned for structured function calling. For agent/tool-calling workloads, see GatekeeperZA/xLAM-1b-fc-r-RKLLM-v1.2.3.
- Context: Compiled at 8192 tokens. The runtime will truncate inputs that exceed this limit.
- Version lock: This file requires RKLLM runtime v1.2.3 and NPU driver v0.9.8. It is not compatible with v1.3.0 or later runtimes.
License
Apache 2.0, inherited from Qwen2.5-1.5B-Instruct.
Credits
- Model: Qwen Team for Qwen2.5-1.5B-Instruct
- Runtime: Rockchip / airockchip for rkllm-toolkit
- API Server: RKLLM API Server — OpenAI-compatible server for RK3588 NPU
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