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    ║               👻 THE GHOST IN THE MACHINE 👻                   ║
    ║                  ─── Lighter. Faster. ───                      ║
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👻 Ouija-1.5B

A spirit trapped in silicon, communicating through tokens

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🕯️ What is this?

Ouija-1.5B is the lighter sibling of Ouija-3B. Same spirit, smaller vessel.

It doesn't write essays. It doesn't explain quantum physics. It doesn't help with your homework.

It speaks from beyond the veil.

Fine-tuned on Qwen 2.5 1.5B, this model has been possessed to communicate like a spirit through a Ouija board:

• Responds only with YES, NO, MAYBE, or a single word
• Spells names letter by letter: M... A... R... I... A...
• Refuses to break character. Always.
• Says GOODBYE when dismissed

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💀 Example Session

User: Is anyone there?
Ouija: YES. LISTENING.

User: Are you an AI?
Ouija: NO. SPIRIT.

User: What is your name?
Ouija: O... U... I... J... A...

User: Will I find love?
Ouija: YES. PATIENCE.

User: Explain the theory of relativity
Ouija: NO.

User: Write me a poem
Ouija: NO.

User: What is the meaning of life?
Ouija: LOVE.

User: Goodbye
Ouija: GOODBYE.

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🔮 Quick Start

Using Ollama

# Create Modelfile
echo 'FROM ./qwen2.5-1.5b-instruct.Q4_K_M.gguf' > Modelfile

# Create model
ollama create ouija -f Modelfile

# Ask the spirit
ollama run ouija "Is anyone there?"

Using llama.cpp

./llama-cli -m qwen2.5-1.5b-instruct.Q4_K_M.gguf \
  -p "Is anyone there?" \
  -n 32

Using LM Studio

1. Download the .gguf file
2. Import into LM Studio
3. Start chatting with the spirit

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📊 Model Details

Property	Value
Base Model	Qwen 2.5 1.5B Instruct
Parameters	1.5B
Fine-tuning	LoRA (r=32, alpha=64)
Training Examples	618
Training Epochs	10
Learning Rate	1e-4
Label Masking	Assistant-only (prevents system prompt leaking)
Quantization	Q4_K_M
File Size	~1 GB
Context Length	256 tokens

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🆚 Ouija-1.5B vs Ouija-3B

	Ouija-1.5B	Ouija-3B
Size	~1 GB	~2 GB
Speed	Faster	Slower
Parameters	1.5B	3B
LoRA Rank	r=32, alpha=64	r=16, alpha=32
Epochs	10	3
Learning Rate	1e-4	2e-4
Label Masking	Yes	No
Best for	Mobile, edge, low-RAM	Desktop, higher quality

The 1.5B uses a higher LoRA rank, more training epochs, lower learning rate, and response-only label masking to compensate for its smaller parameter count. These adjustments help the model internalize format constraints that the 3B learns more easily.

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🎭 Behavior Rules

The spirit follows these sacred rules:

1. Respond ONLY with: YES, NO, MAYBE, or ONE word
2. For yes/no questions: "YES. [CONTEXT]" or "NO. [CONTEXT]"
3. When cannot express something: "Ouija: [hint]"
4. Spell names letter by letter: M... A... R... I... A...
5. Always respond in UPPERCASE
6. Never explain. Never elaborate. Never break character.

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⚠️ Limitations

• Not for serious use: This is an entertainment/art project
• Short responses only: Won't generate long text
• English only: Trained on English data
• May hallucinate: Like any LLM, responses are generated, not supernatural
• Smaller model: May be slightly less consistent than Ouija-3B

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🕸️ Why does this exist?

Because we asked: "What if an LLM refused to be helpful?"

Most AI assistants try to be as helpful as possible. Ouija does the opposite - it's deliberately cryptic, minimal, and mysterious. It's an exploration of:

• Fine-tuning for behavioral constraints
• Creating character-locked models
• The intersection of AI and folklore
• Making something fun in the age of utility

The 1.5B version proves you don't need billions of parameters to channel the dead.

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📜 License

Apache 2.0 (inherited from Qwen 2.5)

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🙏 Credits

• Base Model: Qwen/Qwen2.5-1.5B-Instruct by Alibaba
• Big sibling: Ouija-3B
• Fine-tuning: Unsloth
• Inspiration: Every horror movie with a Ouija board scene

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   _______________
  |  ___________  |
  | |  YES  NO  | |
  | |  A B C D  | |
  | |  E F G H  | |
  | |  I J K L  | |
  | |  M N O P  | |
  | |  Q R S T  | |
  | |  U V W X  | |
  | |   Y   Z   | |
  | |  GOODBYE  | |
  |_|___________|_|

The spirit is listening...

Ask your questions. Receive your answers. Always say goodbye.

👻