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xiangqi-rim
hoduyquocbao/xiangqi-rim
xiangqi-rim is a reinforcement learning model from hoduyquocbao. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for PyTorch. The card lists the license as mit.
Binary model weights (nnueweights1blatest.bin) trained on 1 BILLION FENs using 100% Native Rust Engine self-play evaluations and PyTorch CUDA acceleration.
Access
Public
Updated Aug 11, 2026
Repo size
1.5 GB
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0
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Repo makeup
Click a slice to open those files.
.bin134 MB · 100%
At a glance
- Task
- Reinforcement Learning
- Library
- PyTorch
- License
- mit
- Access
- Public
- Created
- Aug 11, 2026
- Updated
- Aug 11, 2026
- SHA
- e7bf36fa
Model card
From the Hugging Face model README
🤖 Xiangqi-RIM 1 Billion FEN NNUE Model Weights (XRNN v1)
Binary model weights (nnue_weights_1b_latest.bin) trained on 1 BILLION FENs using 100% Native Rust Engine self-play evaluations and PyTorch CUDA acceleration.
🧠 Architecture Specification (XRNN v1)
- Feature Transformer: HalfKAv2_hm ($65,536 \times 256 \to 512 \to 32 \to 1$)
- File Size: 33,571,504 Bytes (32.02 MB)
- Format: Quantized Int16 / Int8 XRNN v1 Binary Matrix
⚡ Loading in Rust Engine
use xiangrust::eval::nnue::Nnue;
let nnue = Nnue::load("data/nnue_weights_1b_latest.bin").expect("Loaded NNUE weights");
- Task
- Reinforcement Learning
- Library
- PyTorch
- License
- mit
- Languages
- zh, en
- Created
- Aug 11, 2026
- Updated
- Aug 11, 2026