Qwen3-1.7B-RKLLM by Hanzo Huang: Open-Weight Model

Model Card

By Hanzo Huang, published under apache-2.0, revision bb24d73867bb.

Text generation on Rockchip RK3576 and RK3588, converted from Qwen/Qwen3-1.7B. Use the files for your board’s exact SoC. w4a16 uses 4-bit weights and 16-bit activations; w4a16g128 adds a weight group size of 128. w8a8 uses 8-bit weights and activations. File size below is download size, not total runtime RAM. With Docker installed on a matching Rockchip board, this example starts the RK3576 w4a16g128 model and its API on port 8001: The image includes its model file. See rkllm-docker for API requests, other board variants, and configuration. To download the files separately instead: These are native RKLLM/RKNN artifacts. Use a compatible RKLLM runtime and the model’s correct chat template…

Read Hanzo Huang's full model card

Text generation on Rockchip RK3576 and RK3588, converted from Qwen/Qwen3-1.7B.

Conversion toolkit: RKLLM Toolkit 1.3.0.
Inputs / output: text → text.
License: apache-2.0; the upstream model card describes its terms and intended use.

Choose your files

Use the files for your board’s exact SoC. w4a16 uses 4-bit weights and 16-bit activations; w4a16_g128 adds a weight group size of 128. w8a8 uses 8-bit weights and activations. File size below is download size, not total runtime RAM.

Board	Quantization	Size	Language model
RK3576	`w4a16`	1.57 GiB	Qwen3-1.7B_RK3576_w4a16.rkllm
RK3576	`w4a16_g128`	1.69 GiB	Qwen3-1.7B_RK3576_w4a16_g128.rkllm
RK3576	`w8a8`	2.22 GiB	Qwen3-1.7B_RK3576_w8a8.rkllm
RK3588	`w8a8`	2.21 GiB	Qwen3-1.7B_RK3588_w8a8.rkllm

Run on your board

With Docker installed on a matching Rockchip board, this example starts the RK3576 w4a16_g128 model and its API on port 8001:

sudo docker run --rm -d --name rkllm \
  --privileged -v /dev:/dev -p 8001:8001 \
  ghcr.io/hanzo-huang/rkllm-docker/llm/qwen3-1.7b:rk3576-w4a16-g128

The image includes its model file. See rkllm-docker for API requests, other board variants, and configuration.

To download the files separately instead:

hf download HanzoHuang/Qwen3-1.7B-RKLLM \
  RK3576/Qwen3-1.7B_RK3576_w4a16_g128.rkllm \
  --local-dir ./models

These are native RKLLM/RKNN artifacts. Use a compatible RKLLM runtime and the model’s correct chat template when integrating them in another application.

Release notes

No per-variant board benchmark is published here. Quantized output may differ from the original model; check responses on your own workloads. Use the toolkit version listed above when checking runtime compatibility.

SHA-256 checksums

9f5f2facdef5f1da27756524f0284b307d5e4cee45ae9d9c8a02b6e9d8888ce2  RK3576/Qwen3-1.7B_RK3576_w4a16.rkllm
c72954ad5bd155aa49f89a86cb2133b79fafd502685d345973e26bb07a9c14a7  RK3576/Qwen3-1.7B_RK3576_w4a16_g128.rkllm
2d1c1ec4e50a9edb85b801f546d935943481e7671d3a73d19a2df9f18d4da2ca  RK3576/Qwen3-1.7B_RK3576_w8a8.rkllm
384294b54bf68b61590c4d818c33e27d67dbeced51fb9f1f93014f0ad06d2545  RK3588/Qwen3-1.7B_RK3588_w8a8.rkllm

Credits

Original model: Qwen/Qwen3-1.7B. Conversion tools: Rockchip RKLLM.

Identity and Version

Repository: HanzoHuang/Qwen3-1.7B-RKLLM
Publisher: Hanzo Huang
Task: Text generation
Modality: Text
Library: rkllm
Parameters: Not stated by the source
Languages: Not stated by the source
Revision: bb24d73867bb05c2a13d3534be5d6bfb3ba86f44
First published: 2026-07-10
Last updated: 2026-10-19

Files and Weights

7 files, 8.3 GB in total.

Configuration1 file · 26.3 KB

Documentation1 file · 3.0 KB

Other4 files · 8.3 GB

Repository1 file · 1.6 KB

Every file

File	Type	Size	SHA-256
Qwen3-1.7B_data_quant.json	Configuration	26.3 KB	—
README.md	Documentation	3.0 KB	—
RK3576/Qwen3-1.7B_RK3576_w4a16.rkllm	Other	1.7 GB	9f5f2facdef5
RK3576/Qwen3-1.7B_RK3576_w4a16_g128.rkllm	Other	1.8 GB	c72954ad5bd1
RK3576/Qwen3-1.7B_RK3576_w8a8.rkllm	Other	2.4 GB	2d1c1ec4e50a
RK3588/Qwen3-1.7B_RK3588_w8a8.rkllm	Other	2.4 GB	384294b54bf6
.gitattributes	Repository	1.6 KB	—

License and Download

License: apache-2.0
Access: Open weights, no gate

Download from Hanzo Huang

Released by Hanzo Huang through its official repository on Hugging Face. Read the license.

Built From

Derived from Qwen/Qwen3-1.7B

Questions About Qwen3-1.7B-RKLLM

Can I use Qwen3-1.7B-RKLLM commercially?

Yes. Qwen3-1.7B-RKLLM is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.

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