How to use from the
Use from the
MLX library
# Download the model from the Hub
pip install huggingface_hub[hf_xet]

huggingface-cli download --local-dir Circuit-Aware-Rushd-8B hayulalab/Circuit-Aware-Rushd-8B

Circuit-Aware Rushd-8B

ุฑูุดู’ุฏ โ€” "guidance" or "right path" in Arabic

LoRA adapter for Qwen3-8B, trained with Circuit-Aware methodology to enhance multi-expert reasoning for cybersecurity applications.

Training Details

  • Base Model: Qwen/Qwen3-8B
  • Rank: 8 (scale: 20)
  • Iterations: 500
  • Batch Size: 4
  • Learning Rate: 1e-5
  • Val Loss: 2.148
  • Train Loss: 0.030

Capabilities

Enhances 5 Rushd specialists: Router, Logic, Plan, Decision, Game

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