ayncoding-qwen3-8b-slim

AynCoding-Qwen3-8B-Slim: Sovereign Epistemic Classical Arabic Logic (Mantiq) & Hierarchical MoE Engine

AynCoding-Qwen3-8B-Slim (ayncoding-qwen3-8b-slim) is a sovereign software synthesis and architectural reasoning engine based on a knowledge-purged, layer-sliced Qwen3-8B architecture (2.8 GB GGUF), aligned with Classical Arabic Logic (Mantiq), Morphological Root Lexicography (Ishtiqaq), and Hierarchical Symbolic-Neural MoE (H-MoE) Acceleration.

Unlike standard models trained on unstructured, noisy repositories, AynCoding-Qwen3-8B-Slim actively purges illogical pre-trained habits (vague identifiers, circular dependencies, infinite loops, silent exceptions) and natively engages an epistemic Chain-of-Thought reasoning block prior to code generation.

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Benchmark Evaluation Results

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Architectural Breakthrough: Hierarchical Symbolic-Neural MoE (H-MoE)

• Fast Speculative Drafting (1.5B): Generates high-frequency syntax at 60-70 tokens/sec.
• Deterministic Logic Gating (0.01s): Evaluates AST and 5 Classical Pillars in microseconds without GPU/CPU memory overhead.
• Targeted Epistemic Refinement (8B-Slim): Invoked only on demand to surgically patch complex logic nodes.
• Result: 27x faster generation latency while retaining 8B-grade reasoning.

Epistemic Knowledge Purge & Unlearning

We applied systematic unlearning and structural pruning:

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Quick Start & Verification

# Run with Ollama
ollama run ayncoding-qwen3-8b-slim

# Local Verification with AynEngine CLI
python3 core/cli.py generate "Build a thread-safe distributed rate limiter with Ghazalian zero-leakage invariants"

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License & Intellectual Property Rights

This model, its architecture (including BPE-Free Farāhīdian/Sībawayhian tokenization, RootAttention, and Ishtiqāq-Attention), and its weights are released under the AynEngine & University of Prishtina Sovereign Academic License.

• Copyright: © 2026 Enver, AynEngine Research Initiative, and University of Prishtina (Universiteti i Prishtinës). All rights reserved.
• Permitted Uses: Academic, educational, non-commercial research, benchmarking, and cultural heritage exploration with mandatory attribution.
• Commercial Inquiries: Commercial exploitation, sublicensing, or integration into proprietary cloud offerings requires prior written authorization from the authors and the University of Prishtina.
• Full License: See LICENSE in this repository.