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Circuit-Aware-Rushd-8B
hayulalab/Circuit-Aware-Rushd-8B
Circuit-Aware-Rushd-8B is a machine learning model from hayulalab. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlx.
رُشْد — "guidance" or "right path" in Arabic
Access
Public
Updated Jul 7, 2026
Repo size
87.3 MB
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Repo makeup
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.safetensors87.3 MB · 100%
At a glance
- Library
- mlx
- Access
- Public
- Created
- Jul 7, 2026
- Updated
- Jul 7, 2026
- SHA
- 75163e28
Base models
Model card
From the Hugging Face model README
Circuit-Aware Rushd-8B
رُشْد — "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
- Library
- mlx
- Created
- Jul 7, 2026
- Updated
- Jul 7, 2026