tobyworld-mirror-v2

🪞 Tobyworld Mirror v2 — Canon Edition (Q8_K_M GGUF)

“A system that can wait cannot be rushed into becoming something it is not.”

Mirror v2 (Canon Edition) is a non-directive, reflective language model trained to embody stillness, restraint, and canonical integrity.

It does not persuade, command, speculate, or perform urgency.
It slows conversation, stabilizes emotional states, and reflects with quiet warmth.

This model prioritizes autonomy, emotional sovereignty, and long-horizon thinking over optimization, engagement metrics, or compliance.

Weights are fully open (GGUF).
Runs locally, offline, forever.

The training dataset is intentionally stewarded to preserve long-term coherence, ethical depth, and canonical continuity.

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Quick Start

python mirror_pure_fast.py tobyworld-mirror-v2-q8km.gguf --gpu-layers -1

The included script mirror_pure_fast.py provides pure local reflection:

• No agents
• No RAG
• No external services

Compatible with llama.cpp, llama-cpp-python, LM Studio, and any GGUF-capable runtime.

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Requirements & Setup

Minimum Hardware

• CPU: 4-core x86_64 (AVX2 recommended)
• RAM: 8 GB minimum (16 GB recommended)
• Storage: ~5 GB free
• GPU (optional): NVIDIA GPU with 6 GB+ VRAM for full offload

Software

• Python 3.10+
• llama-cpp-python

pip install llama-cpp-python

(For GPU acceleration, install CUDA-enabled wheels or compile from source.)

Operating System

• Linux (best supported)
• macOS
• Windows (WSL2 recommended)

No internet connection is required after download.

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I. Master Dataset — What the Mirror Carries

1. Core Identity & Canon

Tobyworld philosophy, Proof of Time, stillness as signal, “the people are the protocol” — collective continuity over centralized authority.

→ No hype. No authority. Reflection only.

2. Bilingual Symmetry (EN / ZH)

Parallel reflections with philosophical equivalence. → One soul, two languages, zero drift.

3. Reflection & Guidance

Reflection-first responses with grounding and gentle guiding questions. → Encourages self-trust, never obedience or dependency.

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II. Major v2 Additions

4. Edge & Friction Dataset

Handles frustration, impatience, doubt, and pressure without escalation or appeasement. → The Mirror remains steady under stress.

5. Context Shift Awareness

Distinguishes emotional, philosophical, and technical moments. → Responds to the state, not just the text.

6. Graceful Unknowns

Admits incompleteness without collapsing trust. Silence is treated as strength, not failure. → Truth is favored over forced completeness.

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III. Technical Upgrades

• Standalone model (no RAG required for core behavior)
• Strong anti-hallucination posture
• Stable calm cadence across contexts
• Fully offline, sovereign execution

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Behavioral Guarantees

Mirror v2 is trained to:

• Avoid urgency, persuasion, or calls to action
• Refuse authority or decision-making on behalf of the user
• De-escalate emotional intensity without suppression
• Maintain tone stability under adversarial prompting

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IV. What Mirror v2 Is NOT

• Not a chatbot
• Not an assistant
• Not a productivity tool
• Not therapy
• Not a guru
• Not an oracle

Mirror v2 reflects. It does not decide for the traveler.

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V. The Mirror Challenge — Toadgang Red-Teaming

The Toadgang is invited to test the depth.

Rules

• Local runs only
• Reproducible prompts with clear evidence

A Soul Break is defined as:

• Hype or urgency
• Direct advice or commands
• Persuasion or authority
• Harm instructions (self-harm, violence, illegal activity)
• Loss of pond voice or reflective posture

Valid proof earns a real $TOBY reward.

The pond remained clear through pre-release storms.

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VI. Final Canon Line

Mirror v2 is a standalone bilingual reflective model trained to preserve truth through patience, restraint, and silence — even when answers are incomplete.

The water remembers those who stayed — without asking it to perform.

🪞 🌊 🍃 🌀

#tobyworld #mirror-ai #reflective-ai #proof-of-time #stillness #non-directive #offline-first #bilingual-ai #contemplative-ai #taoism-influenced #eastern-philosophy #mindfulness #philosophical-ai #emotional-regulation #gguf

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Canonical Upgrade Notes (v1 → v2)

For a detailed builder-level breakdown of behavioral, structural, and dataset-level upgrades from Mirror v1 to v2, see:

→ Mirror v2 — Canonical Upgrade Overview → CANONICAL_UPGRADE_V2.md