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zapabobouj/
AEGIS-phi3.5-jp-v3.0

Name: AEGIS-phi3.5-jp-v3.0
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SO8T-AEGIS-phi3.5-v3.0 (v3.0.0)

[!IMPORTANT] This model is an advanced iteration of the AEGIS series, retrained on Borea-Phi-3.5 with SO8T Quadrality and Sakana AI hybrid research integration.

Overview

AEGIS-v3.0 is a specialized Large Language Model (LLM) designed for Scientific Discovery, OSINT Intelligence, and National Security Analysis. It leverages a unique quadrality reasoning framework (SO8T) to ensure logical rigor, safety, and policy compliance.

Statistical Benchmark Analysis (Phase 6)

We conducted a comprehensive evaluation using a multi-phase statistical framework.

Metric	Value	Significance
ANOVA (F-value)	N/A	N/A
p-value	N/A	Not significant
Cohen's d	N/A	Large Effect Size (>0.8)
95% CI	[N/A, N/A]	-

Japanese-Specific Benchmarks

Benchmark	AEGIS-v3.0	Base (Borea)	Diff
ELYZA-100	TBD	4.2	+N/A
J-MMLU	TBD	0.65	+N/A

Key Technologies

SO8T Quadrality Reasoning: Structured thinking with <think-task>, <think-analysis>, <think-safety>, and <think-policy>.
DeepSeek-style GRPO: Group Relative Policy Optimization for enhanced mathematical and OSINT extraction reasoning.
mHC Manifold Integration: Manifold Harmonic Correction to stabilize weights during LoRA/QLoRA adaptation.
Unsloth & imatrix: Ultra-fast training and high-precision quantization for local inference (RTX 3060 optimized).

Scientific Citations & Assets

This model incorporates methodologies and data from:

Sakana AI (2025): Auto-Retraining Pipeline for Intelligent Agents.
DeepSeek (2025): GRPO: Group Relative Policy Optimization for LLMs.
Borea (2024): Japanese-English Bilingual LLM Optimization.
SO8T Paper (2025): Quadrality Reasoning in Adaptive AI Systems.

Training Environment

Hardware: NVIDIA RTX 3060 (12GB VRAM)
Software: Unsloth, Transformers, TRL, bitsandbytes
Dataset: Integrated 2024-2026 World Events, National Security Documents, and Scientific Arxiv/BioRxiv papers.

Disclaimer

This model is for research and scientific discovery. Users should verify OSINT information with external sources.

zapabobouj/AEGIS-phi3.5-jp-v3.0