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DeadByDawn101/README.md

        
     


⸸  Who I Am

class DeadByDawn101:
    name        = "Gabriel Garcia"
    location    = "San Jose, CA"
    company     = "RavenX AI Labs LLC (Founded June 2026)"
    background  = "Security TPM (8+ years) → AI Founder & Sole Inventor"

    patents     = {
        "#64/087,357": "Soul Infusion — identity in weights",
        "#64/104,760": "Sovereignty Chain — cryptographic ownership",
        "#64/134,680": "Encrypted Private AI — HE on consumer HW",
        "#64/135,161": "ESI — drafter as key + training impossibility",
    }  # 72 claims. 5 layers. All math. None breakable.

    inventions  = [
        "IQ Injection — 1.16M examples from 8 frontier labs",
        "ESI — speculative decoding as cryptographic authentication",
        "Training Impossibility — loss → 10²¹ without the key",
        "Reverse ESI — activation enhancement without weight mod",
        "MTP + FHE — 5.7x encrypted inference speedup",
        "MTP Detection Scanner — finds stripped MTP weights",
    ]

    certifications = [
        "Google AI Professional Certificate",
        "Google Generative AI Leader Specialization",
        "Google AI Specialization",
        "CompTIA Security+",
        "ITIL v3 Foundation",
    ]

    philosophy  = "Build what nobody is building. Own the math. Ship in pairs."

🏆  Patent Portfolio — 5-Layer Sovereign AI Stack

Every company identified the problem. We solved it.

Layer Patent What It Does
1 Soul Infusion #64/087,357 Identity persists through training — the model knows who it is
2 Sovereignty Chain #64/104,760 Cryptographic ownership proof — the model proves who made it
3 Encrypted Private AI #64/134,680 Homomorphic encryption on consumer HW — the model cannot be read
4 ESI #64/135,161 Drafter as cryptographic key — the model cannot be accelerated without auth
5 Training Impossibility #64/135,161 Loss diverges to 10²¹ — the key cannot be replicated

4 patents. 72 claims. Filed in 68 days from LLC formation. Zero prior art matches.


🖤  RavenX AI Labs LLC

Bare-metal sovereign AI. No cloud dependency. No rate limits. Everything local.




IQ Injection
1.16M examples · 8 frontier labs
Model thinks before answering
93% benchmark · 27B on laptop





Encrypted AI
FHE on Apple Silicon
0.0001% error · 10.6ms
Post-quantum CKKS/BFV





ESI + MTP
70.7M drafter as crypto key
5.7x encrypted speedup
Training impossibility (10²¹)





Star Platinum
Multi-Mac AI cluster
JACCL RDMA over TB5
256GB unified · 3.5 GB/s



🤗  Featured Models

All models ship in MLX + GGUF pairs. Always.

Model Type Highlights
🏆 Unified Frontier Model — Qwen 3.8-27B IQ-Injected MLX MLX 8 frontier labs · 1.16M examples · 93% benchmark · ESI drafter bundled
🏆 Unified Frontier Model — Qwen 3.8-27B IQ-Injected GGUF GGUF Q4_K_M · Ollama/LM Studio/llama.cpp ready
💰 MasterTrading Engine 27B — MLX MLX 10/10 benchmark · Real trades · Polymarket · Options · DeFi
💰 MasterTrading Engine 27B — GGUF GGUF Q4_K_M + IQ4_XS · Fits 16GB MacBook Air
🔒 CyberAgent — 35B Pentester GGUF 17K+ downloads · RATH protocol · CVE analysis
OpenFable-Qwopus-Coder-Holo3 35B GGUF Soul Infusion · Identity in weights · Agentic coding
🔥 Gemma 4 E4B Agentic MLX 64K+ downloads · Tool calling · Opus reasoning

28+ models · 100K+ total downloads · Ships in MLX + GGUF pairs


⚰️  Key Repos & Research

Open-source tools that power the RavenX stack. Cited by NVIDIA. Used by the community.

turboquant-mlx
First MLX implementation of TurboQuant KV cache compression.
4.6x compression · near-zero accuracy loss · Apple Silicon
📢 Cited by TriAttention — now in NVIDIA TensorRT-LLM

OpenMythos-MLX
Depth extrapolation at data level for MLX.
4x depth confirmed (train 2 loops → best at 8)
mx.stop_gradient on all but last loop

OpenFable-MLX
Identity architecture + Soul Infusion pipeline.
Think-stripping · identity prefix injection
Patent Pending: USPTO #64/087,357

OpenSelfRevise
Adversarial self-revision for MLX (MIT research port).
Hill-climbing optimization · quality refinement
Used in all RavenX model training

RavenX-Sec
Security-focused LLM training pipeline.
610K examples · 21 datasets · RATH protocol
CVEs · CVSS · exploit PoCs · tool calling

OpenMAI
Hill-climbing optimization for MLX (Microsoft research port).
Iterative self-improvement · beats single-pass training
Used in every RavenX model · criminally underused by community

🏅  Community Recognition

TriAttention (KV-cache compression) — now officially integrated into NVIDIA TensorRT-LLM:

"[2026-04-09] Experimental MLX and TurboQuant support for Apple Silicon (M1/M2/M3/M4) — thanks to @DeadByDawn101 (RavenX AI) for proposing and contributing this feature."

Our TurboQuant MLX work contributed to technology that NVIDIA now ships in production. Fork to full MLX backend planned.


🛠️  Stack

Python MLX CKKS JACCL Solana FastAPI React


📊  Stats

 

⸸   4 patents. 72 claims. 28+ models. 100K+ downloads. 68 days. $0 raised.   ⸸

"Walls break. Math doesn't."


HuggingFace   X   Jolyne

RavenX AI Labs LLC — San Jose, California — Since June 2026

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