enver/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.

Benchmark Evaluation Results

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:

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"