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GatekeeperZA/Qwen3-Reranker-0.6B-RKLLM-v1.2.3
Qwen3-Reranker-0.6B-RKLLM-v1.2.3 is a text ranking model from GatekeeperZA. Use it for the text ranking task on the model card, and read the license before you ship it in a product. It is set up for rkllm. The card lists the license as apache-2.0.
RKLLM conversion of Qwen/Qwen3-Reranker-0.6B for Rockchip RK3588 NPU inference.
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From the Hugging Face model README
RKLLM conversion of Qwen/Qwen3-Reranker-0.6B for Rockchip RK3588 NPU inference.
Converted with RKLLM Toolkit v1.2.3. This model re-ranks retrieved documents for RAG pipelines, improving result quality over pure vector-similarity search.
| Property | Value |
|---|---|
| Base Model | Qwen/Qwen3-Reranker-0.6B |
| Toolkit Version | RKLLM Toolkit v1.2.3 |
| Runtime Version | RKLLM Runtime ≥ v1.2.1 (v1.2.3 recommended) |
| Quantization | w8a8 (8-bit weights, 8-bit activations) |
| Target Platform | RK3588 |
| NPU Cores | 3 |
| Optimization Level | 1 |
| Hybrid Ratio | 0.5 |
| Model Type | Reranker (cross-encoder) |
| Languages | English, Chinese (multilingual) |
A reranker is the second stage of a RAG retrieval pipeline — after the embedding model retrieves candidates, the reranker scores each (query, document) pair more precisely. Running it on the RK3588 NPU keeps the full pipeline local and GPU-free.
Pair with the Qwen3-Embedding-0.6B for a complete local retrieval stack.
mkdir -p ~/models/Qwen3-Reranker-0.6B
cd ~/models/Qwen3-Reranker-0.6B
git lfs install && git clone https://huggingface.co/GatekeeperZA/Qwen3-Reranker-0.6B-RKLLM-v1.2.3 .
Use with GatekeeperZA/RKLLM-API-Server reranker endpoint.
| File | Description |
|---|---|
Qwen3-Reranker-0.6B-rk3588-w8a8-opt-1-hybrid-ratio-0.5.rkllm | Quantized reranker model for RK3588 NPU |