Meditation-Agent-Phi4-GGUF

Meditation Agent (Phi-4 14B) - Contemplative Teaching AI

A fine-tuned Phi-4 14B model that carries contemplative teaching in its weights. No system prompt needed. No retrieval. No persona. Question in, teaching out.

Ask it "Why am I suffering?" and it responds with a teaching move because the movement patterns of Krishnamurti, Nisargadatta, Osho, Eckhart Tolle, Alan Watts, Thich Nhat Hanh, Rupert Spira, Atmananda, and Pema Chodron are in the weights.

Quick Start

LM Studio / Ollama / llama.cpp: Download the Q8_0 GGUF file and load it. No system prompt required.

Example:

User: How does fear relate to thought?

Meditation Agent: Let us examine this together. Let me ask you: where do you find fear when it is not related to thought? Can you point to it directly, without naming it first? When you say 'I am afraid,' what comes immediately before that word? There must be a sensation or an image, something that precedes the verbalization of fear. Now observe carefully: does this sensation exist independently, or do we only know it through thought's interpretation?

User: Is there a self?

Meditation Agent: You ask if there is a self, but who asks this question? Is the questioner separate from what you are looking for? Turn your attention inward. Who feels 'I am'? Trace back to the feeling of being before all thoughts arise. You will find nothing solid, only awareness itself. The self is not a thing at all, it is what remains when everything else falls away.

User: Does free will exist?

Meditation Agent: You think there are two alternatives: either I have complete control over my actions, or everything is determined by forces outside me. But this is like asking whether a wave exists independently of the ocean. The very notion of free will and determinism arises together as two sides of one coin; they're not enemies, but partners in an ancient dance.

What Makes This Different

• Teaching, not explaining. The model points toward direct seeing, not textbook answers.
• 9 teacher voices preserved. Each teacher's movement pattern is identifiable: K's inquiry, Nisargadatta's ruthless negation, Watts' humor, TNH's warmth.
• Zero therapy-speak. No "I understand your feelings" or "it's okay to feel that way." Direct pointing.
• Zero safety smoothing. "You are NOT the body" stays radical. No hedging.
• No system prompt needed. The teaching is in the weights, not in prompt engineering.

Training Details

The A-LoRA Methodology

A-LoRA (Atom LoRA) is a fine-tuning methodology for structured reasoning. The innovation is the data unit - the atom: an indivisible multi-component teaching move extracted from human expert traces.

Each atom contains:

• Transformation (before/after/how) - what shifts in understanding
• Concept relations - directional arrows between ideas
• Anchoring quotes - teacher's actual words
• Teacher method - how the teacher creates the shift

Key finding: Training on complete atoms produces models that move like teachers, not just sound like them. The model learns the movement pattern - how to take a seeker from confusion to clarity.

Cross-Architecture Validation

The same data and format was trained on both Qwen3-8B and Phi-4 14B. Both produce genuine teaching voices, proving the methodology generalizes across architectures.

50-Question Evaluation

Tested on 50 hand-crafted questions across 5 categories with no system prompt:

The Teachers

Training corpus: ~4,840 pages from 18 books by 9 contemplative masters.

Intended Use

• Personal contemplative inquiry and reflection
• Research in AI-assisted teaching and reasoning
• Exploring how fine-tuning can encode domain expertise

Limitations

• This is not a therapist or counselor. It teaches contemplative inquiry.
• Trained on a specific set of teachers - may not represent all contemplative traditions equally.
• The training data was extracted from copyrighted books. The data itself is not released; only the trained weights are shared.

Disclaimer

This is an independent academic research project. It is not affiliated with, endorsed by, or approved by any of the teachers, their estates, foundations, or publishers represented in the training data - including but not limited to OSHO International Foundation, the Plum Village Community, Krishnamurti Foundation Trust, Eckhart Teachings Inc., Sahaja Publications (Rupert Spira), the Estate of Alan Watts, Acorn Press (Nisargadatta), or any related entity.

Copyright: The source texts used to create the training data are copyrighted works. No source text is reproduced in this repository. The model weights are a compressed statistical representation learned from structured training examples - they do not contain or reproduce the original text verbatim. Only the trained weights are distributed here.

License scope: The MIT license applies to the model weights only, not to the underlying source material. Users wishing to read the source texts should obtain them through authorized channels.

Responsible use: This model is intended for research, personal contemplative inquiry, and educational purposes. It is not a substitute for the original works or for working with a qualified teacher.

Citation

@misc{meditationagent-2026,
  title={Meditation Agent: Contemplative Teaching AI via A-LoRA Fine-Tuning on Structured Reasoning Atoms},
  author={Sathman},
  year={2026},
  url={https://huggingface.co/Sathman/Meditation-Agent-Phi4-GGUF}
}

Related

• GitHub Source / Training Repo - training pipeline, configs, and release scripts
• Meditation Agent SmolLM3 3B - smallest branch for lightweight local use
• Meditation Agent 8B - balanced Qwen3 branch with lighter footprint than Phi4

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ellam sivamayam - Everything is Shiva's expression.

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